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q-bio/0410032
Paul van der Schoot
P. van der Schoot and R. Bruinsma
Electrostatics and the Assembly of an RNA Virus
41 pages, 4 figures
null
10.1103/PhysRevE.71.061928
null
q-bio.BM q-bio.SC
null
Electrostatic interactions play a central role in the assembly of single-stranded RNA viruses. Under physiological conditions of salinity and acidity, virus capsid assembly requires the presence of genomic material that is oppositely charged to the core proteins. In this paper we apply basic polymer physics and stati...
[ { "created": "Wed, 27 Oct 2004 20:02:04 GMT", "version": "v1" } ]
2009-11-10
[ [ "van der Schoot", "P.", "" ], [ "Bruinsma", "R.", "" ] ]
Electrostatic interactions play a central role in the assembly of single-stranded RNA viruses. Under physiological conditions of salinity and acidity, virus capsid assembly requires the presence of genomic material that is oppositely charged to the core proteins. In this paper we apply basic polymer physics and statist...
2207.00584
Siyuan Shan
Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan, Natalie Stanley, Junier B. Oliva
Distribution-based Sketching of Single-Cell Samples
Accepted by ACM-BCB 2022
null
10.1145/3535508.3545539
null
q-bio.QM cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Modern high-throughput single-cell immune profiling technologies, such as flow and mass cytometry and single-cell RNA sequencing can readily measure the expression of a large number of protein or gene features across the millions of cells in a multi-patient cohort. While bioinformatics approaches can be used to link ...
[ { "created": "Thu, 30 Jun 2022 19:43:06 GMT", "version": "v1" } ]
2022-07-05
[ [ "Baskaran", "Vishal Athreya", "" ], [ "Ranek", "Jolene", "" ], [ "Shan", "Siyuan", "" ], [ "Stanley", "Natalie", "" ], [ "Oliva", "Junier B.", "" ] ]
Modern high-throughput single-cell immune profiling technologies, such as flow and mass cytometry and single-cell RNA sequencing can readily measure the expression of a large number of protein or gene features across the millions of cells in a multi-patient cohort. While bioinformatics approaches can be used to link im...
2403.03234
Yair Schiff
Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, and Volodymyr Kuleshov
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
ICML 2024; Code to reproduce our experiments is available at https://github.com/kuleshov-group/caduceus
null
null
null
q-bio.GN cs.LG
http://creativecommons.org/licenses/by/4.0/
Large-scale sequence modeling has sparked rapid advances that now extend into biology and genomics. However, modeling genomic sequences introduces challenges such as the need to model long-range token interactions, the effects of upstream and downstream regions of the genome, and the reverse complementarity (RC) of D...
[ { "created": "Tue, 5 Mar 2024 01:42:51 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 21:02:37 GMT", "version": "v2" } ]
2024-06-07
[ [ "Schiff", "Yair", "" ], [ "Kao", "Chia-Hsiang", "" ], [ "Gokaslan", "Aaron", "" ], [ "Dao", "Tri", "" ], [ "Gu", "Albert", "" ], [ "Kuleshov", "Volodymyr", "" ] ]
Large-scale sequence modeling has sparked rapid advances that now extend into biology and genomics. However, modeling genomic sequences introduces challenges such as the need to model long-range token interactions, the effects of upstream and downstream regions of the genome, and the reverse complementarity (RC) of DNA...
1810.06844
Kristina Wicke
Mareike Fischer and Michelle Galla and Lina Herbst and Yangjing Long and Kristina Wicke
Classes of treebased networks
45 pages, 26 figures
null
null
null
q-bio.PE math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, so-called treebased phylogenetic networks have gained considerable interest in the literature, where a treebased network is a network that can be constructed from a phylogenetic tree, called the base tree, by adding additional edges. The main aim of this manuscript is to provide some sufficient criteria for...
[ { "created": "Tue, 16 Oct 2018 07:22:35 GMT", "version": "v1" }, { "created": "Wed, 17 Oct 2018 10:11:33 GMT", "version": "v2" }, { "created": "Fri, 16 Aug 2019 14:03:08 GMT", "version": "v3" }, { "created": "Wed, 27 Nov 2019 08:32:38 GMT", "version": "v4" } ]
2019-11-28
[ [ "Fischer", "Mareike", "" ], [ "Galla", "Michelle", "" ], [ "Herbst", "Lina", "" ], [ "Long", "Yangjing", "" ], [ "Wicke", "Kristina", "" ] ]
Recently, so-called treebased phylogenetic networks have gained considerable interest in the literature, where a treebased network is a network that can be constructed from a phylogenetic tree, called the base tree, by adding additional edges. The main aim of this manuscript is to provide some sufficient criteria for t...
1703.05755
Guillermo Abramson
Laila D. Kazimierski, Marcelo N. Kuperman, Horacio S. Wio and Guillermo Abramson
Waves of seed propagation induced by delayed animal dispersion
Accepted in Journal of Theoretical Biology
null
10.1016/j.jtbi.2017.09.030
null
q-bio.PE physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a model of seed dispersal that considers the inclusion of an animal disperser moving diffusively, feeding on fruits and transporting the seeds, which are later deposited and capable of germination. The dynamics depends on several population parameters of growth, decay, harvesting, transport, digestion and ge...
[ { "created": "Thu, 16 Mar 2017 17:56:39 GMT", "version": "v1" }, { "created": "Mon, 2 Oct 2017 12:58:13 GMT", "version": "v2" } ]
2017-10-03
[ [ "Kazimierski", "Laila D.", "" ], [ "Kuperman", "Marcelo N.", "" ], [ "Wio", "Horacio S.", "" ], [ "Abramson", "Guillermo", "" ] ]
We study a model of seed dispersal that considers the inclusion of an animal disperser moving diffusively, feeding on fruits and transporting the seeds, which are later deposited and capable of germination. The dynamics depends on several population parameters of growth, decay, harvesting, transport, digestion and germ...
1912.03934
Lionel Gil
Dora Matzakos-Karvouniari, Bruno Cessac and L. Gil
Noise driven broadening of the neural synchronisation transition in stage II retinal waves
null
null
null
null
q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on a biophysical model of retinal Starburst Amacrine Cell (SAC) \cite{karvouniari-gil-etal:19} we analyse here the dynamics of retinal waves, arising during the visual system development. Waves are induced by spontaneous bursting of SACs and their coupling via acetycholine. We show that, despite the acetylcholi...
[ { "created": "Mon, 9 Dec 2019 09:58:51 GMT", "version": "v1" } ]
2019-12-10
[ [ "Matzakos-Karvouniari", "Dora", "" ], [ "Cessac", "Bruno", "" ], [ "Gil", "L.", "" ] ]
Based on a biophysical model of retinal Starburst Amacrine Cell (SAC) \cite{karvouniari-gil-etal:19} we analyse here the dynamics of retinal waves, arising during the visual system development. Waves are induced by spontaneous bursting of SACs and their coupling via acetycholine. We show that, despite the acetylcholine...
1301.6931
Marco M\"oller
Marco M\"oller and Barbara Drossel
Scaling laws in critical random Boolean networks with general in- and out-degree distributions
null
null
10.1103/PhysRevE.87.052106
null
q-bio.MN cond-mat.stat-mech physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We evaluate analytically and numerically the size of the frozen core and various scaling laws for critical Boolean networks that have a power-law in- and/or out-degree distribution. To this purpose, we generalize an efficient method that has previously been used for conventional random Boolean networks and for networ...
[ { "created": "Tue, 29 Jan 2013 14:32:55 GMT", "version": "v1" } ]
2015-06-12
[ [ "Möller", "Marco", "" ], [ "Drossel", "Barbara", "" ] ]
We evaluate analytically and numerically the size of the frozen core and various scaling laws for critical Boolean networks that have a power-law in- and/or out-degree distribution. To this purpose, we generalize an efficient method that has previously been used for conventional random Boolean networks and for networks...
2310.15194
Jie Ruan
Shiang Hu, Jie Ruan, Juan Hou, Pedro Antonio Valdes-Sosa, Zhao Lv
How do the resting EEG preprocessing states affect the outcomes of postprocessing?
null
null
null
null
q-bio.NC cs.HC eess.SP q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Plenty of artifact removal tools and pipelines have been developed to correct the EEG recordings and discover the values below the waveforms. Without visual inspection from the experts, it is susceptible to derive improper preprocessing states, like the insufficient preprocessed EEG (IPE), and the excessive preproces...
[ { "created": "Sun, 22 Oct 2023 08:08:46 GMT", "version": "v1" }, { "created": "Tue, 12 Dec 2023 14:53:48 GMT", "version": "v2" } ]
2023-12-13
[ [ "Hu", "Shiang", "" ], [ "Ruan", "Jie", "" ], [ "Hou", "Juan", "" ], [ "Valdes-Sosa", "Pedro Antonio", "" ], [ "Lv", "Zhao", "" ] ]
Plenty of artifact removal tools and pipelines have been developed to correct the EEG recordings and discover the values below the waveforms. Without visual inspection from the experts, it is susceptible to derive improper preprocessing states, like the insufficient preprocessed EEG (IPE), and the excessive preprocesse...
1105.2362
Liaofu Luo
Liaofu Luo
Protein Photo-folding and Quantum Folding Theory
17 pages, 1 figure
null
null
null
q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rates of protein folding with photon absorption or emission and the cross section of photon -protein inelastic scattering are calculated from the quantum folding theory by use of standard field-theoretical method. All these protein photo-folding processes are compared with common protein folding without interacti...
[ { "created": "Thu, 12 May 2011 03:18:55 GMT", "version": "v1" } ]
2011-05-13
[ [ "Luo", "Liaofu", "" ] ]
The rates of protein folding with photon absorption or emission and the cross section of photon -protein inelastic scattering are calculated from the quantum folding theory by use of standard field-theoretical method. All these protein photo-folding processes are compared with common protein folding without interaction...
1503.07796
Joachim Krug
Stefan Nowak and Joachim Krug
Analysis of adaptive walks on NK fitness landscapes with different interaction schemes
29 pages, 9 figures
J. Stat. Mech. (2015) P06014
10.1088/1742-5468/2015/06/P06014
null
q-bio.PE cond-mat.dis-nn
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fitness landscapes are genotype to fitness mappings commonly used in evolutionary biology and computer science which are closely related to spin glass models. In this paper, we study the NK model for fitness landscapes where the interaction scheme between genes can be explicitly defined. The focus is on how this sche...
[ { "created": "Thu, 26 Mar 2015 17:24:20 GMT", "version": "v1" }, { "created": "Thu, 11 Jun 2015 10:36:25 GMT", "version": "v2" } ]
2015-06-12
[ [ "Nowak", "Stefan", "" ], [ "Krug", "Joachim", "" ] ]
Fitness landscapes are genotype to fitness mappings commonly used in evolutionary biology and computer science which are closely related to spin glass models. In this paper, we study the NK model for fitness landscapes where the interaction scheme between genes can be explicitly defined. The focus is on how this scheme...
1207.2242
Claus Metzner
F. Stadler, C. Metzner, J. Steinwachs, B. Fabry
Inhomogeneous ensembles of correlated random walkers
null
null
null
null
q-bio.QM cond-mat.stat-mech
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Discrete time random walks, in which a step of random sign but constant length $\delta x$ is performed after each time interval $\delta t$, are widely used models for stochastic processes. In the case of a correlated random walk, the next step has the same sign as the previous one with a probability $q \neq 1/2$. We ...
[ { "created": "Tue, 10 Jul 2012 06:58:58 GMT", "version": "v1" } ]
2012-07-11
[ [ "Stadler", "F.", "" ], [ "Metzner", "C.", "" ], [ "Steinwachs", "J.", "" ], [ "Fabry", "B.", "" ] ]
Discrete time random walks, in which a step of random sign but constant length $\delta x$ is performed after each time interval $\delta t$, are widely used models for stochastic processes. In the case of a correlated random walk, the next step has the same sign as the previous one with a probability $q \neq 1/2$. We ex...
1612.07425
Petter Holme
Petter Holme, Nelly Litvak
Cost-efficient vaccination protocols for network epidemiology
null
null
10.1371/journal.pcbi.1005696
null
q-bio.PE physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate methods to vaccinate contact networks -- i.e. removing nodes in such a way that disease spreading is hindered as much as possible -- with respect to their cost-efficiency. Any real implementation of such protocols would come with costs related both to the vaccination itself, and gathering of informatio...
[ { "created": "Thu, 22 Dec 2016 03:07:34 GMT", "version": "v1" }, { "created": "Sat, 20 May 2017 05:10:34 GMT", "version": "v2" } ]
2017-11-01
[ [ "Holme", "Petter", "" ], [ "Litvak", "Nelly", "" ] ]
We investigate methods to vaccinate contact networks -- i.e. removing nodes in such a way that disease spreading is hindered as much as possible -- with respect to their cost-efficiency. Any real implementation of such protocols would come with costs related both to the vaccination itself, and gathering of information ...
0708.0426
Patricia Faisca
Rui D.M. Travasso, M.M. Telo da Gama and P.F.N. Faisca
Pathways to folding, nucleation events and native geometry
Accepted in J. Chem. Phys
null
10.1063/1.2777150
null
q-bio.BM
null
We perform extensive Monte Carlo simulations of a lattice model and the Go potential to investigate the existence of folding pathways at the level of contact cluster formation for two native structures with markedly different geometries. Our analysis of folding pathways revealed a common underlying folding mechanism,...
[ { "created": "Thu, 2 Aug 2007 21:35:18 GMT", "version": "v1" } ]
2009-11-13
[ [ "Travasso", "Rui D. M.", "" ], [ "da Gama", "M. M. Telo", "" ], [ "Faisca", "P. F. N.", "" ] ]
We perform extensive Monte Carlo simulations of a lattice model and the Go potential to investigate the existence of folding pathways at the level of contact cluster formation for two native structures with markedly different geometries. Our analysis of folding pathways revealed a common underlying folding mechanism, b...
1911.11840
Mahsa Yazdani
Mahsa Yazdani and Omid Tavakoli
The Effect of Salt Shock on Growth and Pigment Accumulation of Dunaliella Salina
null
The 5th International Symposium on Biological Engineering and Natural Sciences, August 14-16, 2017, Osaka, Japan
null
null
q-bio.QM physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dunaliella Salina is a halotolerant microalga with great pharmaceutical and industrial potential, which commonly exists in hypersaline environments. Moreover, it is the best commercial source of beta-carotene (which has high anti-oxidant properties) in comparison to other microalgae. In this study, we investigated gr...
[ { "created": "Tue, 26 Nov 2019 21:31:09 GMT", "version": "v1" } ]
2019-11-28
[ [ "Yazdani", "Mahsa", "" ], [ "Tavakoli", "Omid", "" ] ]
Dunaliella Salina is a halotolerant microalga with great pharmaceutical and industrial potential, which commonly exists in hypersaline environments. Moreover, it is the best commercial source of beta-carotene (which has high anti-oxidant properties) in comparison to other microalgae. In this study, we investigated grow...
q-bio/0608010
Chunguang Li
Chunguang Li, Luonan Chen, Kazuyuki Aihara
Transient Resetting: A Novel Mechanism for Synchrony and Its Biological Examples
17 pages, 7 figures
PLoS Computational Biology 2 (8): e103, 2006
10.1371/journal.pcbi.0020103
null
q-bio.MN nlin.CD
null
The study of synchronization in biological systems is essential for the understanding of the rhythmic phenomena of living organisms at both molecular and cellular levels. In this paper, by using simple dynamical systems theory, we present a novel mechanism, named transient resetting, for the synchronization of uncoup...
[ { "created": "Fri, 4 Aug 2006 03:02:30 GMT", "version": "v1" } ]
2007-05-23
[ [ "Li", "Chunguang", "" ], [ "Chen", "Luonan", "" ], [ "Aihara", "Kazuyuki", "" ] ]
The study of synchronization in biological systems is essential for the understanding of the rhythmic phenomena of living organisms at both molecular and cellular levels. In this paper, by using simple dynamical systems theory, we present a novel mechanism, named transient resetting, for the synchronization of uncouple...
2206.12240
Sirui Liu
Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, Yuan Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
null
null
null
null
q-bio.BM cs.LG
http://creativecommons.org/licenses/by/4.0/
Proteins are essential component of human life and their structures are important for function and mechanism analysis. Recent work has shown the potential of AI-driven methods for protein structure prediction. However, the development of new models is restricted by the lack of dataset and benchmark training procedure...
[ { "created": "Fri, 24 Jun 2022 14:08:44 GMT", "version": "v1" } ]
2022-06-27
[ [ "Liu", "Sirui", "" ], [ "Zhang", "Jun", "" ], [ "Chu", "Haotian", "" ], [ "Wang", "Min", "" ], [ "Xue", "Boxin", "" ], [ "Ni", "Ningxi", "" ], [ "Yu", "Jialiang", "" ], [ "Xie", "Yuhao", "" ...
Proteins are essential component of human life and their structures are important for function and mechanism analysis. Recent work has shown the potential of AI-driven methods for protein structure prediction. However, the development of new models is restricted by the lack of dataset and benchmark training procedure. ...
1304.0479
Wendy Ingram
Wendy Marie Ingram, Leeanne M Goodrich, Ellen A Robey, Michael B Eisen
Mice Infected with Low-virulence Strains of Toxoplasma gondii Lose their Innate Aversion to Cat Urine, Even after Extensive Parasite Clearance
14 pages, 3 figures
null
10.1371/journal.pone.0075246
null
q-bio.TO q-bio.NC
http://creativecommons.org/licenses/by/3.0/
Toxoplasma gondii chronic infection in rodent secondary hosts has been reported to lead to a loss of innate, hard-wired fear toward cats, its primary host. However the generality of this response across T. gondii strains and the underlying mechanism for this pathogen mediated behavioral change remain unknown. To begi...
[ { "created": "Mon, 1 Apr 2013 20:53:18 GMT", "version": "v1" }, { "created": "Thu, 11 Jul 2013 21:08:20 GMT", "version": "v2" } ]
2014-03-05
[ [ "Ingram", "Wendy Marie", "" ], [ "Goodrich", "Leeanne M", "" ], [ "Robey", "Ellen A", "" ], [ "Eisen", "Michael B", "" ] ]
Toxoplasma gondii chronic infection in rodent secondary hosts has been reported to lead to a loss of innate, hard-wired fear toward cats, its primary host. However the generality of this response across T. gondii strains and the underlying mechanism for this pathogen mediated behavioral change remain unknown. To begin ...
1603.02414
Christos Skiadas H
Christos H Skiadas
The Health-Mortality Approach in Estimating the Healthy Life Years Lost Compared to the Global Burden of Disease Studies and Applications
26 pages, 11 figures, 6 tables. arXiv admin note: substantial text overlap with arXiv:1510.07346
null
null
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a series of methods and models in order to explore the Global Burden of Disease Study and the provided healthy life expectancy HALE estimates from the World Health Organization WHO based on the mortality mx of a population provided in a classical life table and a mortality diagram. Our estimates are compar...
[ { "created": "Tue, 8 Mar 2016 08:31:51 GMT", "version": "v1" } ]
2016-03-09
[ [ "Skiadas", "Christos H", "" ] ]
We propose a series of methods and models in order to explore the Global Burden of Disease Study and the provided healthy life expectancy HALE estimates from the World Health Organization WHO based on the mortality mx of a population provided in a classical life table and a mortality diagram. Our estimates are compared...
2306.13429
Leonardo Novelli
Leonardo Novelli, Karl Friston, Adeel Razi
Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity
null
null
null
null
q-bio.NC cs.CE
http://creativecommons.org/licenses/by/4.0/
We present a didactic introduction to spectral Dynamic Causal Modelling (DCM), a Bayesian state-space modelling approach used to infer effective connectivity from non-invasive neuroimaging data. Spectral DCM is currently the most widely applied DCM variant for resting-state functional MRI analysis. Our aim is to expl...
[ { "created": "Fri, 23 Jun 2023 10:46:39 GMT", "version": "v1" }, { "created": "Wed, 6 Sep 2023 02:24:23 GMT", "version": "v2" } ]
2023-09-07
[ [ "Novelli", "Leonardo", "" ], [ "Friston", "Karl", "" ], [ "Razi", "Adeel", "" ] ]
We present a didactic introduction to spectral Dynamic Causal Modelling (DCM), a Bayesian state-space modelling approach used to infer effective connectivity from non-invasive neuroimaging data. Spectral DCM is currently the most widely applied DCM variant for resting-state functional MRI analysis. Our aim is to explai...
1711.07258
Marie-Constance Corsi
Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Laurent Hugueville, Ankit N. Khambhati, Danielle S. Bassett, Fabrizio De Vico Fallani
Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces
null
null
null
null
q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs). We applied our approach to a group of 15 healthy subjects and found a...
[ { "created": "Mon, 20 Nov 2017 11:30:15 GMT", "version": "v1" }, { "created": "Mon, 26 Mar 2018 13:27:13 GMT", "version": "v2" } ]
2018-03-28
[ [ "Corsi", "Marie-Constance", "" ], [ "Chavez", "Mario", "" ], [ "Schwartz", "Denis", "" ], [ "Hugueville", "Laurent", "" ], [ "Khambhati", "Ankit N.", "" ], [ "Bassett", "Danielle S.", "" ], [ "Fallani", "Fabriz...
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs). We applied our approach to a group of 15 healthy subjects and found a s...
0910.4077
Marcin Zag\'orski
Z. Burda, A. Krzywicki, O. C. Martin, M. Zagorski
Sparse essential interactions in model networks of gene regulation
9 pages, 5 figures
null
null
null
q-bio.MN cond-mat.stat-mech
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gene regulatory networks typically have low in-degrees, whereby any given gene is regulated by few of the genes in the network. What mechanisms might be responsible for these low in-degrees? Starting with an accepted framework of the binding of transcription factors to DNA, we consider a simple model of gene regulato...
[ { "created": "Wed, 21 Oct 2009 12:58:49 GMT", "version": "v1" } ]
2009-10-22
[ [ "Burda", "Z.", "" ], [ "Krzywicki", "A.", "" ], [ "Martin", "O. C.", "" ], [ "Zagorski", "M.", "" ] ]
Gene regulatory networks typically have low in-degrees, whereby any given gene is regulated by few of the genes in the network. What mechanisms might be responsible for these low in-degrees? Starting with an accepted framework of the binding of transcription factors to DNA, we consider a simple model of gene regulatory...
1711.11161
Pedro M. F. Pereira
Pedro M. F. Pereira
Can Complex Collective Behaviour Be Generated Through Randomness, Memory and a Pinch of Luck?
null
null
null
null
q-bio.PE nlin.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine Learning techniques have been used to teach computer programs how to play games as complicated as Chess and Go. These were achieved using powerful tools such as Neural Networks and Parallel Computing on Supercomputers. In this paper, we define a model of populational growth and evolution based on the idea of ...
[ { "created": "Wed, 29 Nov 2017 23:56:29 GMT", "version": "v1" } ]
2017-12-01
[ [ "Pereira", "Pedro M. F.", "" ] ]
Machine Learning techniques have been used to teach computer programs how to play games as complicated as Chess and Go. These were achieved using powerful tools such as Neural Networks and Parallel Computing on Supercomputers. In this paper, we define a model of populational growth and evolution based on the idea of Re...
1008.1063
Attila Szolnoki
Gyorgy Szabo, Attila Szolnoki, Melinda Varga, Livia Hanusovszky
Ordering in spatial evolutionary games for pairwise collective strategy updates
9 pages, 6 figures; accepted for publication in Physical Review E
Physical Review E 82 (2010) 026110
10.1103/PhysRevE.82.026110
null
q-bio.PE cond-mat.stat-mech physics.bio-ph physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Evolutionary $2 \times 2$ games are studied with players located on a square lattice. During the evolution the randomly chosen neighboring players try to maximize their collective income by adopting a random strategy pair with a probability dependent on the difference of their summed payoffs between the final and ini...
[ { "created": "Thu, 5 Aug 2010 20:01:31 GMT", "version": "v1" } ]
2010-08-23
[ [ "Szabo", "Gyorgy", "" ], [ "Szolnoki", "Attila", "" ], [ "Varga", "Melinda", "" ], [ "Hanusovszky", "Livia", "" ] ]
Evolutionary $2 \times 2$ games are studied with players located on a square lattice. During the evolution the randomly chosen neighboring players try to maximize their collective income by adopting a random strategy pair with a probability dependent on the difference of their summed payoffs between the final and initi...
1609.04316
Carlo Nicolini
Carlo Nicolini, C\'ecile Bordier, Angelo Bifone
Community detection in weighted brain connectivity networks beyond the resolution limit
27 pages with 6 figures and 1 table. Conference version for CCS2016
null
null
null
q-bio.NC physics.soc-ph q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization. However, most graph-based methods suffer from a fundamental resolution limit that may have affected previous studies and prevented detection of modules, or communities, that are smaller tha...
[ { "created": "Wed, 14 Sep 2016 15:36:49 GMT", "version": "v1" } ]
2016-09-15
[ [ "Nicolini", "Carlo", "" ], [ "Bordier", "Cécile", "" ], [ "Bifone", "Angelo", "" ] ]
Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization. However, most graph-based methods suffer from a fundamental resolution limit that may have affected previous studies and prevented detection of modules, or communities, that are smaller than ...
1809.09450
Alican Ozkan
Alican Ozkan, Neda Ghousifam, P. Jack Hoopes, Marissa Nichole Rylander
In Vitro Vascularized Liver and Tumor Tissue Microenvironments on a Chip for Dynamic Determination of Nanoparticle Transport and Toxicity
42 pages, 10 figures, 1 table
null
null
null
q-bio.TO physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the development of a vascularized breast tumor and healthy or tumorigenic liver microenvironments-on-a-chip connected in series. This is the first description of a vascularized multi tissue-on-a-chip microenvironment for modeling cancerous breast and cancerous/healthy liver microenvironments, to a...
[ { "created": "Tue, 25 Sep 2018 13:02:54 GMT", "version": "v1" }, { "created": "Wed, 28 Nov 2018 03:05:35 GMT", "version": "v2" } ]
2018-11-29
[ [ "Ozkan", "Alican", "" ], [ "Ghousifam", "Neda", "" ], [ "Hoopes", "P. Jack", "" ], [ "Rylander", "Marissa Nichole", "" ] ]
This paper presents the development of a vascularized breast tumor and healthy or tumorigenic liver microenvironments-on-a-chip connected in series. This is the first description of a vascularized multi tissue-on-a-chip microenvironment for modeling cancerous breast and cancerous/healthy liver microenvironments, to all...
2403.13851
Lucas B\"ottcher
Lucas B\"ottcher, Luis L. Fonseca, Reinhard C. Laubenbacher
Control of Medical Digital Twins with Artificial Neural Networks
13 pages, 5 figures
null
null
null
q-bio.QM cs.LG cs.SY eess.SY math.DS math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The objective of personalized medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dynamically updated to incorporate patient-specific data collected o...
[ { "created": "Mon, 18 Mar 2024 19:30:46 GMT", "version": "v1" } ]
2024-03-22
[ [ "Böttcher", "Lucas", "" ], [ "Fonseca", "Luis L.", "" ], [ "Laubenbacher", "Reinhard C.", "" ] ]
The objective of personalized medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dynamically updated to incorporate patient-specific data collected ove...
1304.8045
Buhm Han
Buhm Han, Jae Hoon Sul, Eleazar Eskin, Paul I. W. de Bakker, Soumya Raychaudhuri
A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping
1/17/14: Minor text changes
null
null
null
q-bio.QM stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meta-analysis of genome-wide association studies is increasingly popular and many meta-analytic methods have been recently proposed. A majority of meta-analytic methods combine information from multiple studies by assuming that studies are independent since individuals collected in one study are unlikely to be collec...
[ { "created": "Tue, 30 Apr 2013 16:01:14 GMT", "version": "v1" }, { "created": "Mon, 7 Oct 2013 21:53:36 GMT", "version": "v2" }, { "created": "Fri, 17 Jan 2014 17:59:19 GMT", "version": "v3" } ]
2014-01-20
[ [ "Han", "Buhm", "" ], [ "Sul", "Jae Hoon", "" ], [ "Eskin", "Eleazar", "" ], [ "de Bakker", "Paul I. W.", "" ], [ "Raychaudhuri", "Soumya", "" ] ]
Meta-analysis of genome-wide association studies is increasingly popular and many meta-analytic methods have been recently proposed. A majority of meta-analytic methods combine information from multiple studies by assuming that studies are independent since individuals collected in one study are unlikely to be collecte...
2002.00245
Mandev Gill
Mandev S. Gill, Philippe Lemey, Marc A. Suchard, Andrew Rambaut, Guy Baele
Online Bayesian phylodynamic inference in BEAST with application to epidemic reconstruction
20 pages, 3 figures
null
null
null
q-bio.PE stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconstructing pathogen dynamics from genetic data as they become available during an outbreak or epidemic represents an important statistical scenario in which observations arrive sequentially in time and one is interested in performing inference in an 'online' fashion. Widely-used Bayesian phylogenetic inference pa...
[ { "created": "Sat, 1 Feb 2020 17:30:59 GMT", "version": "v1" } ]
2020-02-04
[ [ "Gill", "Mandev S.", "" ], [ "Lemey", "Philippe", "" ], [ "Suchard", "Marc A.", "" ], [ "Rambaut", "Andrew", "" ], [ "Baele", "Guy", "" ] ]
Reconstructing pathogen dynamics from genetic data as they become available during an outbreak or epidemic represents an important statistical scenario in which observations arrive sequentially in time and one is interested in performing inference in an 'online' fashion. Widely-used Bayesian phylogenetic inference pack...
1912.10489
Tai Sing Lee
Siming Yan, Xuyang Fang, Bowen Xiao, Harold Rockwell, Yimeng Zhang, Tai Sing Lee
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks
10 pages, 5 figures
null
null
null
q-bio.NC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The abundant recurrent horizontal and feedback connections in the primate visual cortex are thought to play an important role in bringing global and semantic contextual information to early visual areas during perceptual inference, helping to resolve local ambiguity and fill in missing details. In this study, we find...
[ { "created": "Sun, 22 Dec 2019 17:40:19 GMT", "version": "v1" } ]
2019-12-24
[ [ "Yan", "Siming", "" ], [ "Fang", "Xuyang", "" ], [ "Xiao", "Bowen", "" ], [ "Rockwell", "Harold", "" ], [ "Zhang", "Yimeng", "" ], [ "Lee", "Tai Sing", "" ] ]
The abundant recurrent horizontal and feedback connections in the primate visual cortex are thought to play an important role in bringing global and semantic contextual information to early visual areas during perceptual inference, helping to resolve local ambiguity and fill in missing details. In this study, we find t...
2003.00328
Gerhard Mayer
Gerhard Mayer
Mass spectrometry for semi-experimental protein structure determination and modeling
28 pages
null
null
null
q-bio.OT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The structure of proteins is essential for its function. The determination of protein structures is possible by experimental or predicted by computational methods, but also a combination of both approaches is possible. Here, first an overview about experimental structure determination methods with their pros and cons...
[ { "created": "Sat, 29 Feb 2020 18:43:09 GMT", "version": "v1" } ]
2020-03-03
[ [ "Mayer", "Gerhard", "" ] ]
The structure of proteins is essential for its function. The determination of protein structures is possible by experimental or predicted by computational methods, but also a combination of both approaches is possible. Here, first an overview about experimental structure determination methods with their pros and cons i...
2307.11033
Roberto Corral L\'opez
Roberto Corral L\'opez and Samir Suweis and Sandro Azaele and Miguel A. Mu\~noz
Stochastic trade-offs and the emergence of diversification in E. coli evolution experiments
null
null
null
null
q-bio.PE physics.bio-ph
http://creativecommons.org/licenses/by/4.0/
Laboratory experiments with bacterial colonies, under well-controlled conditions often lead to evolutionary diversification, where at least two ecotypes emerge from an initially monomorphic population. Empirical evidence suggests that such "evolutionary branching" occurs stochastically, even under fixed and stable co...
[ { "created": "Thu, 20 Jul 2023 17:08:05 GMT", "version": "v1" }, { "created": "Tue, 23 Jul 2024 06:19:04 GMT", "version": "v2" } ]
2024-07-24
[ [ "López", "Roberto Corral", "" ], [ "Suweis", "Samir", "" ], [ "Azaele", "Sandro", "" ], [ "Muñoz", "Miguel A.", "" ] ]
Laboratory experiments with bacterial colonies, under well-controlled conditions often lead to evolutionary diversification, where at least two ecotypes emerge from an initially monomorphic population. Empirical evidence suggests that such "evolutionary branching" occurs stochastically, even under fixed and stable cond...
1312.5492
Shinya Kuroda
Takuya Koumura, Hidetoshi Urakubo, Kaoru Ohashi, Masashi Fujii and Shinya Kuroda
Stochasticity in Ca$^{2+}$ increase in spines enables robust and sensitive information coding
47 pages, 4 figures, 8 supplementary figures
null
10.1371/journal.pone.0099040
null
q-bio.MN q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A dendritic spine is a very small structure (~0.1 {\mu}m$^3$) of a neuron that processes input timing information. Why are spines so small? Here, we provide functional reasons; the size of spines is optimal for information coding. Spines code input timing information by the probability of Ca$^{2+}$ increases, which m...
[ { "created": "Thu, 19 Dec 2013 11:49:19 GMT", "version": "v1" }, { "created": "Tue, 25 Feb 2014 11:55:53 GMT", "version": "v2" } ]
2014-06-18
[ [ "Koumura", "Takuya", "" ], [ "Urakubo", "Hidetoshi", "" ], [ "Ohashi", "Kaoru", "" ], [ "Fujii", "Masashi", "" ], [ "Kuroda", "Shinya", "" ] ]
A dendritic spine is a very small structure (~0.1 {\mu}m$^3$) of a neuron that processes input timing information. Why are spines so small? Here, we provide functional reasons; the size of spines is optimal for information coding. Spines code input timing information by the probability of Ca$^{2+}$ increases, which mak...
2305.01580
Li Kai
Li Kai, Li Ning, Zhang Wei, Gao Ming
Molecular design method based on novel molecular representation and variational auto-encoder
13 pages, 7 figures, conference: NIAI
4th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2023), Volume 13, Number 03, February 2023, pp. 23-35, 2023. CS & IT - CSCP 2023
10.5121/csit.2023.130303
null
q-bio.BM cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on the traditional VAE, a novel neural network model is presented, with the latest molecular representation, SELFIES, to improve the effect of generating new molecules. In this model, multi-layer convolutional network and Fisher information are added to the original encoding layer to learn the data characterist...
[ { "created": "Mon, 20 Feb 2023 05:11:53 GMT", "version": "v1" } ]
2023-05-03
[ [ "Kai", "Li", "" ], [ "Ning", "Li", "" ], [ "Wei", "Zhang", "" ], [ "Ming", "Gao", "" ] ]
Based on the traditional VAE, a novel neural network model is presented, with the latest molecular representation, SELFIES, to improve the effect of generating new molecules. In this model, multi-layer convolutional network and Fisher information are added to the original encoding layer to learn the data characteristic...
1606.03235
Pablo Villegas G\'ongora
Pablo Villegas, Jos\'e Ruiz-Franco, Jorge Hidalgo, Miguel A. Mu\~noz
Intrinsic noise and deviations from criticality in Boolean gene-regulatory networks
14 pages, 6 figures and 1 table. Submitted to Scientific Reports
Scientific Reports 6, 34743 (2016)
10.1038/srep34743
null
q-bio.MN cond-mat.dis-nn nlin.AO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gene regulatory networks can be successfully modeled as Boolean networks. A much discussed hypothesis says that such model networks reproduce empirical findings the best if they are tuned to operate at criticality, i.e. at the borderline between their ordered and disordered phases. Critical networks have been argued ...
[ { "created": "Fri, 10 Jun 2016 09:06:11 GMT", "version": "v1" } ]
2016-10-12
[ [ "Villegas", "Pablo", "" ], [ "Ruiz-Franco", "José", "" ], [ "Hidalgo", "Jorge", "" ], [ "Muñoz", "Miguel A.", "" ] ]
Gene regulatory networks can be successfully modeled as Boolean networks. A much discussed hypothesis says that such model networks reproduce empirical findings the best if they are tuned to operate at criticality, i.e. at the borderline between their ordered and disordered phases. Critical networks have been argued to...
0911.1843
Cecile Fauvelot
Cecile Fauvelot (COREUS), Francesca Bertozzi (CIRSA), Federica Costantini (CIRSA), Laura Airoldi (CIRSA), Marco Abbiati (CIRSA)
Lower genetic diversity in the limpet Patella caerulea on urban coastal structures compared to natural rocky habitats
null
Marine Biology 156 (2009) 2313
null
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human-made structures are increasingly found in marine coastal habitats. The aim of the present study was to explore whether urban coastal structures can affect the genetic variation of hard-bottom species. We conducted a population genetic analysis on the limpet Patella caerulea sampled in both natural and artificia...
[ { "created": "Tue, 10 Nov 2009 07:16:54 GMT", "version": "v1" } ]
2009-11-11
[ [ "Fauvelot", "Cecile", "", "COREUS" ], [ "Bertozzi", "Francesca", "", "CIRSA" ], [ "Costantini", "Federica", "", "CIRSA" ], [ "Airoldi", "Laura", "", "CIRSA" ], [ "Abbiati", "Marco", "", "CIRSA" ] ]
Human-made structures are increasingly found in marine coastal habitats. The aim of the present study was to explore whether urban coastal structures can affect the genetic variation of hard-bottom species. We conducted a population genetic analysis on the limpet Patella caerulea sampled in both natural and artificial ...
2109.11985
Matt Holzer
Ashley Armbruster, Matt Holzer, Noah Roselli, Lena Underwood
Epidemic spreading on complex networks as front propagation into an unstable state
null
null
null
null
q-bio.PE math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study epidemic arrival times in meta-population disease models through the lens of front propagation into unstable states. We demonstrate that several features of invasion fronts in the PDE context are also relevant to the network case. We show that the susceptible-infected-recovered model on a network is linearly...
[ { "created": "Fri, 24 Sep 2021 14:17:44 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2022 17:41:02 GMT", "version": "v2" } ]
2022-10-19
[ [ "Armbruster", "Ashley", "" ], [ "Holzer", "Matt", "" ], [ "Roselli", "Noah", "" ], [ "Underwood", "Lena", "" ] ]
We study epidemic arrival times in meta-population disease models through the lens of front propagation into unstable states. We demonstrate that several features of invasion fronts in the PDE context are also relevant to the network case. We show that the susceptible-infected-recovered model on a network is linearly d...
1704.08851
Sebastian Weichwald
Sebastian Weichwald and Moritz Grosse-Wentrup
The right tool for the right question --- beyond the encoding versus decoding dichotomy
preprint
null
null
null
q-bio.NC stat.AP stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are two major questions that neuroimaging studies attempt to answer: First, how are sensory stimuli represented in the brain (which we term the stimulus-based setting)? And, second, how does the brain generate cognition (termed the response-based setting)? There has been a lively debate in the neuroimaging comm...
[ { "created": "Fri, 28 Apr 2017 08:56:47 GMT", "version": "v1" } ]
2017-05-01
[ [ "Weichwald", "Sebastian", "" ], [ "Grosse-Wentrup", "Moritz", "" ] ]
There are two major questions that neuroimaging studies attempt to answer: First, how are sensory stimuli represented in the brain (which we term the stimulus-based setting)? And, second, how does the brain generate cognition (termed the response-based setting)? There has been a lively debate in the neuroimaging commun...
1808.04458
Mohammadsadegh Ghiasi
Mohammad S. Ghiasi, Jason E. Chen, Edward K. Rodriguez, Ashkan Vaziri, Ara Nazarian
Computational Modeling of the Effects of Inflammatory Response and Granulation Tissue Properties on Human Bone Fracture Healing
25 Pages, 7 Figures
null
null
null
q-bio.TO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bone healing process includes four phases: inflammatory response, soft callus formation, hard callus development, and remodeling. Mechanobiological models have been used to investigate the role of various mechanical and biological factors on the bone healing. However, the initial phase of healing, which includes the ...
[ { "created": "Mon, 13 Aug 2018 20:37:01 GMT", "version": "v1" } ]
2018-08-15
[ [ "Ghiasi", "Mohammad S.", "" ], [ "Chen", "Jason E.", "" ], [ "Rodriguez", "Edward K.", "" ], [ "Vaziri", "Ashkan", "" ], [ "Nazarian", "Ara", "" ] ]
Bone healing process includes four phases: inflammatory response, soft callus formation, hard callus development, and remodeling. Mechanobiological models have been used to investigate the role of various mechanical and biological factors on the bone healing. However, the initial phase of healing, which includes the in...
1803.10044
Roland L. Knorr
Roland L. Knorr, Jan Steinkuehler and Rumiana Dimova
Micron-sized domains in quasi single-component giant vesicles
null
null
null
null
q-bio.BM cond-mat.soft physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Giant unilamellar vesicles (GUVs), are a convenient tool to study membrane-bound processes using optical microscopy. An increasing number of studies highlights the potential of these model membranes when addressing questions in membrane biophysics and cell biology. Among them, phase transitions and domain formation, ...
[ { "created": "Tue, 27 Mar 2018 12:38:46 GMT", "version": "v1" }, { "created": "Mon, 25 Jun 2018 19:17:10 GMT", "version": "v2" } ]
2018-06-27
[ [ "Knorr", "Roland L.", "" ], [ "Steinkuehler", "Jan", "" ], [ "Dimova", "Rumiana", "" ] ]
Giant unilamellar vesicles (GUVs), are a convenient tool to study membrane-bound processes using optical microscopy. An increasing number of studies highlights the potential of these model membranes when addressing questions in membrane biophysics and cell biology. Among them, phase transitions and domain formation, dy...
1307.7861
Aaron Darling
Michal N\'an\'asi, Tom\'a\v{s} Vina\v{r}, and Bro\v{n}a Brejov\'a
Probabilistic Approaches to Alignment with Tandem Repeats
Peer-reviewed and presented as part of the 13th Workshop on Algorithms in Bioinformatics (WABI2013)
null
null
null
q-bio.QM q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a simple tractable pair hidden Markov model for pairwise sequence alignment that accounts for the presence of short tandem repeats. Using the framework of gain functions, we design several optimization criteria for decoding this model and describe the resulting decoding algorithms, ranging from the traditi...
[ { "created": "Tue, 30 Jul 2013 08:02:34 GMT", "version": "v1" } ]
2013-07-31
[ [ "Nánási", "Michal", "" ], [ "Vinař", "Tomáš", "" ], [ "Brejová", "Broňa", "" ] ]
We propose a simple tractable pair hidden Markov model for pairwise sequence alignment that accounts for the presence of short tandem repeats. Using the framework of gain functions, we design several optimization criteria for decoding this model and describe the resulting decoding algorithms, ranging from the tradition...
2212.07638
Muhammad Anwari Leksono
Muhammad Anwari Leksono and Ayu Purwarianti
Sequential Labelling and DNABERT For Splice Site Prediction in Homo Sapiens DNA
revision 1, 5 figures, 3 tables
null
null
null
q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Genome sequencing technology has improved significantly in few last years and resulted in abundance genetic data. Artificial intelligence has been employed to analyze genetic data in response to its sheer size and variability. Gene prediction on single DNA has been conducted using various deep learning architectures ...
[ { "created": "Thu, 15 Dec 2022 07:18:36 GMT", "version": "v1" }, { "created": "Thu, 16 Mar 2023 11:41:59 GMT", "version": "v2" } ]
2023-03-17
[ [ "Leksono", "Muhammad Anwari", "" ], [ "Purwarianti", "Ayu", "" ] ]
Genome sequencing technology has improved significantly in few last years and resulted in abundance genetic data. Artificial intelligence has been employed to analyze genetic data in response to its sheer size and variability. Gene prediction on single DNA has been conducted using various deep learning architectures to...
1403.5686
Haris Vikalo
Xiaohu Shen, Manohar Shamaiah, and Haris Vikalo
Iterative Learning for Reference-Guided DNA Sequence Assembly from Short Reads: Algorithms and Limits of Performance
Submitted to IEEE Transactions on Signal Processing
null
10.1109/TSP.2014.2333564
null
q-bio.GN cs.CE cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent emergence of next-generation DNA sequencing technology has enabled acquisition of genetic information at unprecedented scales. In order to determine the genetic blueprint of an organism, sequencing platforms typically employ so-called shotgun sequencing strategy to oversample the target genome with a library o...
[ { "created": "Sat, 22 Mar 2014 16:59:53 GMT", "version": "v1" } ]
2015-06-19
[ [ "Shen", "Xiaohu", "" ], [ "Shamaiah", "Manohar", "" ], [ "Vikalo", "Haris", "" ] ]
Recent emergence of next-generation DNA sequencing technology has enabled acquisition of genetic information at unprecedented scales. In order to determine the genetic blueprint of an organism, sequencing platforms typically employ so-called shotgun sequencing strategy to oversample the target genome with a library of ...
2001.11972
Shawn Gu
Shawn Gu and Tijana Milenkovic
Data-driven biological network alignment that uses topological, sequence, and functional information
null
null
null
null
q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many proteins remain functionally unannotated. Sequence alignment (SA) uncovers missing annotations by transferring functional knowledge between species' sequence-conserved regions. Because SA is imperfect, network alignment (NA) complements SA by transferring functional knowledge between conserved biological network...
[ { "created": "Fri, 31 Jan 2020 17:43:13 GMT", "version": "v1" }, { "created": "Fri, 12 Jun 2020 19:36:28 GMT", "version": "v2" } ]
2020-06-16
[ [ "Gu", "Shawn", "" ], [ "Milenkovic", "Tijana", "" ] ]
Many proteins remain functionally unannotated. Sequence alignment (SA) uncovers missing annotations by transferring functional knowledge between species' sequence-conserved regions. Because SA is imperfect, network alignment (NA) complements SA by transferring functional knowledge between conserved biological network, ...
2311.17755
Franck Andre
Juan Gonz\'alez-Cuevas, Ricardo Arg\"uello, Marcos Florentin, Franck M. Andr\'e (METSY), Lluis Mir (IGR, METSY)
Experimental and Theoretical Brownian Dynamics Analysis of Ion Transport During Cellular Electroporation of E. coli Bacteria
Annals of Biomedical Engineering, 2023
null
10.1007/s10439-023-03353-4
null
q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Escherichia coli bacterium is a rod-shaped organism composed of a complex double membrane structure. Knowledge of electric field driven ion transport through both membranes and the evolution of their induced permeabilization has important applications in biomedical engineering, delivery of genes and antibacterial age...
[ { "created": "Wed, 29 Nov 2023 15:57:32 GMT", "version": "v1" } ]
2023-11-30
[ [ "González-Cuevas", "Juan", "", "METSY" ], [ "Argüello", "Ricardo", "", "METSY" ], [ "Florentin", "Marcos", "", "METSY" ], [ "André", "Franck M.", "", "METSY" ], [ "Mir", "Lluis", "", "IGR, METSY" ] ]
Escherichia coli bacterium is a rod-shaped organism composed of a complex double membrane structure. Knowledge of electric field driven ion transport through both membranes and the evolution of their induced permeabilization has important applications in biomedical engineering, delivery of genes and antibacterial agent...
1407.5503
Ellen Baake
Corinna Ernst and Ellen Baake
Rare event simulation in immune biology: Models of negative selection in T-cell maturation
13 pages, 5 figures; accepted for 10th International Workshop on Rare Event Simulation, Amsterdam, Aug. 27-29, 2014
null
null
null
q-bio.CB math.PR q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a probabilistic T-cell model that includes negative selection and takes contrasting models of tissue-restricted antigen (TRA) expression in the thymus into account. We start from the basic model of van den Berg, Rand, and Burroughs (2001) and include negative selection via individual-based T-cell modelling...
[ { "created": "Mon, 21 Jul 2014 14:16:06 GMT", "version": "v1" } ]
2014-07-22
[ [ "Ernst", "Corinna", "" ], [ "Baake", "Ellen", "" ] ]
We present a probabilistic T-cell model that includes negative selection and takes contrasting models of tissue-restricted antigen (TRA) expression in the thymus into account. We start from the basic model of van den Berg, Rand, and Burroughs (2001) and include negative selection via individual-based T-cell modelling, ...
1607.00483
Vaibhav Madhok
Vaibhav Madhok
Quasi-Species in High Dimensional Spaces
Ideas on high dimensionality geometry, concentration of measure and quasi-species evolution. Work in progress
null
null
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that, under certain assumptions, the fitness of almost all quasi-species becomes independent of mutational probabilities and the initial frequency distributions of the sequences in high dimensional sequence spaces. This result is the consequence of the concentration of measure on a high dimensional hyperspher...
[ { "created": "Sat, 2 Jul 2016 09:32:50 GMT", "version": "v1" } ]
2016-07-05
[ [ "Madhok", "Vaibhav", "" ] ]
We show that, under certain assumptions, the fitness of almost all quasi-species becomes independent of mutational probabilities and the initial frequency distributions of the sequences in high dimensional sequence spaces. This result is the consequence of the concentration of measure on a high dimensional hypersphere ...
1811.03177
Younhun Kim
Younhun Kim, Frederic Koehler, Ankur Moitra, Elchanan Mossel and Govind Ramnarayan
How Many Subpopulations is Too Many? Exponential Lower Bounds for Inferring Population Histories
38 pages, Appeared in RECOMB 2019
null
null
null
q-bio.PE math.ST q-bio.QM stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconstruction of population histories is a central problem in population genetics. Existing coalescent-based methods, like the seminal work of Li and Durbin (Nature, 2011), attempt to solve this problem using sequence data but have no rigorous guarantees. Determining the amount of data needed to correctly reconstruc...
[ { "created": "Wed, 7 Nov 2018 23:00:15 GMT", "version": "v1" }, { "created": "Wed, 8 May 2019 15:24:19 GMT", "version": "v2" } ]
2020-05-11
[ [ "Kim", "Younhun", "" ], [ "Koehler", "Frederic", "" ], [ "Moitra", "Ankur", "" ], [ "Mossel", "Elchanan", "" ], [ "Ramnarayan", "Govind", "" ] ]
Reconstruction of population histories is a central problem in population genetics. Existing coalescent-based methods, like the seminal work of Li and Durbin (Nature, 2011), attempt to solve this problem using sequence data but have no rigorous guarantees. Determining the amount of data needed to correctly reconstruct ...
1204.5999
Michael Deem
Dirk M. Lorenz, Alice Jeng, and Michael W. Deem
The Emergence of Modularity in Biological Systems
54 pages, 25 figures
Physics of Life Reviews, 8 (2011) 129-160
10.1016/j.plrev.2011.02.003
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this review, we discuss modularity and hierarchy in biological systems. We review examples from protein structure, genetics, and biological networks of modular partitioning of the geometry of biological space. We review theories to explain modular organization of biology, with a focus on explaining how biology may...
[ { "created": "Thu, 26 Apr 2012 18:45:00 GMT", "version": "v1" } ]
2015-06-04
[ [ "Lorenz", "Dirk M.", "" ], [ "Jeng", "Alice", "" ], [ "Deem", "Michael W.", "" ] ]
In this review, we discuss modularity and hierarchy in biological systems. We review examples from protein structure, genetics, and biological networks of modular partitioning of the geometry of biological space. We review theories to explain modular organization of biology, with a focus on explaining how biology may s...
2401.10211
Zhengyi Li
Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
null
null
null
null
q-bio.QM cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Protein post-translational modification (PTM) site prediction is a fundamental task in bioinformatics. Several computational methods have been developed to predict PTM sites. However, existing methods ignore the structure information and merely utilize protein sequences. Furthermore, designing a more fine-grained str...
[ { "created": "Thu, 4 Jan 2024 20:49:32 GMT", "version": "v1" } ]
2024-01-19
[ [ "Li", "Zhengyi", "" ], [ "Li", "Menglu", "" ], [ "Zhu", "Lida", "" ], [ "Zhang", "Wen", "" ] ]
Protein post-translational modification (PTM) site prediction is a fundamental task in bioinformatics. Several computational methods have been developed to predict PTM sites. However, existing methods ignore the structure information and merely utilize protein sequences. Furthermore, designing a more fine-grained struc...
2109.00364
Florian Franke
Florian Franke, Sebatian Aland, Hans-Joachim B\"ohme, Anja Voss-B\"ohme, Steffen Lange
Is cell segregation like oil and water: asymptotic versus transitory regime
41 pages, 11+11 figures, 1+1 table
PLoS Computational Biology, September 2022
10.1371/journal.pcbi.1010460
null
q-bio.CB
http://creativecommons.org/licenses/by/4.0/
Segregation of different cell types is a crucial process for the pattern formation in tissues, in particular during embryogenesis. Since the involved cell interactions are complex and difficult to measure individually in experiments, mathematical modelling plays an increasingly important role to unravel the mechanism...
[ { "created": "Wed, 1 Sep 2021 12:59:52 GMT", "version": "v1" }, { "created": "Thu, 28 Oct 2021 06:04:19 GMT", "version": "v2" }, { "created": "Wed, 13 Apr 2022 09:31:25 GMT", "version": "v3" }, { "created": "Fri, 22 Jul 2022 08:25:09 GMT", "version": "v4" } ]
2022-09-21
[ [ "Franke", "Florian", "" ], [ "Aland", "Sebatian", "" ], [ "Böhme", "Hans-Joachim", "" ], [ "Voss-Böhme", "Anja", "" ], [ "Lange", "Steffen", "" ] ]
Segregation of different cell types is a crucial process for the pattern formation in tissues, in particular during embryogenesis. Since the involved cell interactions are complex and difficult to measure individually in experiments, mathematical modelling plays an increasingly important role to unravel the mechanisms ...
2403.11517
Haibao Wang
Haibao Wang, Jun Kai Ho, Fan L. Cheng, Shuntaro C. Aoki, Yusuke Muraki, Misato Tanaka and Yukiyasu Kamitani
Inter-individual and inter-site neural code conversion without shared stimuli
null
null
null
null
q-bio.NC cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inter-individual variability in fine-grained functional brain organization poses challenges for scalable data analysis and modeling. Functional alignment techniques can help mitigate these individual differences but typically require paired brain data with the same stimuli between individuals, which is often unavaila...
[ { "created": "Mon, 18 Mar 2024 07:10:52 GMT", "version": "v1" }, { "created": "Thu, 1 Aug 2024 11:16:16 GMT", "version": "v2" } ]
2024-08-02
[ [ "Wang", "Haibao", "" ], [ "Ho", "Jun Kai", "" ], [ "Cheng", "Fan L.", "" ], [ "Aoki", "Shuntaro C.", "" ], [ "Muraki", "Yusuke", "" ], [ "Tanaka", "Misato", "" ], [ "Kamitani", "Yukiyasu", "" ] ]
Inter-individual variability in fine-grained functional brain organization poses challenges for scalable data analysis and modeling. Functional alignment techniques can help mitigate these individual differences but typically require paired brain data with the same stimuli between individuals, which is often unavailabl...
1908.04875
Casey Fleeter
Casey M. Fleeter, Gianluca Geraci, Daniele E. Schiavazzi, Andrew M. Kahn, Alison L. Marsden
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
null
null
10.1016/j.cma.2020.113030
null
q-bio.QM physics.comp-ph stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Standard approaches for uncertainty quantification in cardiovascular modeling pose challenges due to the large number of uncertain inputs and the significant computational cost of realistic three-dimensional simulations. We propose an efficient uncertainty quantification framework utilizing a multilevel multifidelity...
[ { "created": "Tue, 13 Aug 2019 22:10:47 GMT", "version": "v1" }, { "created": "Thu, 16 Apr 2020 23:44:26 GMT", "version": "v2" } ]
2020-04-20
[ [ "Fleeter", "Casey M.", "" ], [ "Geraci", "Gianluca", "" ], [ "Schiavazzi", "Daniele E.", "" ], [ "Kahn", "Andrew M.", "" ], [ "Marsden", "Alison L.", "" ] ]
Standard approaches for uncertainty quantification in cardiovascular modeling pose challenges due to the large number of uncertain inputs and the significant computational cost of realistic three-dimensional simulations. We propose an efficient uncertainty quantification framework utilizing a multilevel multifidelity M...
q-bio/0502037
Jean-Pascal Pfister
Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing
27 pages, 10 figures
null
null
null
q-bio.NC
null
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or several desired firing times. We find that the optimal strategy of ...
[ { "created": "Thu, 24 Feb 2005 16:28:38 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pfister", "Jean-Pascal", "" ], [ "Toyoizumi", "Taro", "" ], [ "Barber", "David", "" ], [ "Gerstner", "Wulfram", "" ] ]
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or several desired firing times. We find that the optimal strategy of up...
2208.00935
Jia Qi Yip
Jia Qi Yip, Dianwen Ng, Bin Ma, Konstantin Pervushin, Eng Siong Chng
Amino Acid Classification in 2D NMR Spectra via Acoustic Signal Embeddings
null
null
null
null
q-bio.QM eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important part of drug development. Unfortunately, NMR data can cost thousands of dollars per sample to collect and it can take a specialist weeks to a...
[ { "created": "Mon, 1 Aug 2022 15:36:22 GMT", "version": "v1" } ]
2022-08-03
[ [ "Yip", "Jia Qi", "" ], [ "Ng", "Dianwen", "" ], [ "Ma", "Bin", "" ], [ "Pervushin", "Konstantin", "" ], [ "Chng", "Eng Siong", "" ] ]
Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important part of drug development. Unfortunately, NMR data can cost thousands of dollars per sample to collect and it can take a specialist weeks to ass...
q-bio/0507041
Jim Bashford
J.D. Bashford and P.D. Jarvis
A base pairing model of duplex formation I: Watson-Crick pairing geometries
Latex file, 13 pages, no figures. Refereed draft of manuscript submitted to Biopolymers
Biopolymers 78: 287-297, 2005
10.1002/bip.20282
UTAS-PHYS-2004-05
q-bio.BM
null
We present a base-pairing model of oligonuleotide duplex formation and show in detail its equivalence to the Nearest-Neighbour dimer methods from fits to free energy of duplex formation data for short DNA-DNA and DNA-RNA hybrids containing only Watson Crick pairs. In this approach the connection between rank-deficien...
[ { "created": "Thu, 28 Jul 2005 04:37:03 GMT", "version": "v1" } ]
2007-05-23
[ [ "Bashford", "J. D.", "" ], [ "Jarvis", "P. D.", "" ] ]
We present a base-pairing model of oligonuleotide duplex formation and show in detail its equivalence to the Nearest-Neighbour dimer methods from fits to free energy of duplex formation data for short DNA-DNA and DNA-RNA hybrids containing only Watson Crick pairs. In this approach the connection between rank-deficient ...
2005.02388
Endre Cs\'oka
Endre Cs\'oka
Application-oriented mathematical algorithms for group testing
null
null
null
null
q-bio.QM cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have a large number of samples and we want to find the infected ones using as few number of tests as possible. We can use group testing which tells about a small group of people whether at least one of them is infected. Group testing is particularly efficient if the infection rate is low. The goal of this article ...
[ { "created": "Tue, 5 May 2020 14:40:46 GMT", "version": "v1" } ]
2020-05-07
[ [ "Csóka", "Endre", "" ] ]
We have a large number of samples and we want to find the infected ones using as few number of tests as possible. We can use group testing which tells about a small group of people whether at least one of them is infected. Group testing is particularly efficient if the infection rate is low. The goal of this article is...
2402.10308
Wouter-Jan Rappel
Timothy J Tyree, Patrick Murphy, Wouter-Jan Rappel
Annihilation dynamics during spiral defect chaos revealed by particle models
11 pages, 11 figures
null
null
null
q-bio.TO
http://creativecommons.org/licenses/by/4.0/
Pair-annihilation events are ubiquitous in a variety of spatially extended systems and are often studied using computationally expensive simulations. Here we develop an approach in which we simulate the pair-annihilation of spiral wave tips in cardiac models using a computationally efficient particle model. Spiral wa...
[ { "created": "Thu, 15 Feb 2024 20:20:29 GMT", "version": "v1" } ]
2024-02-19
[ [ "Tyree", "Timothy J", "" ], [ "Murphy", "Patrick", "" ], [ "Rappel", "Wouter-Jan", "" ] ]
Pair-annihilation events are ubiquitous in a variety of spatially extended systems and are often studied using computationally expensive simulations. Here we develop an approach in which we simulate the pair-annihilation of spiral wave tips in cardiac models using a computationally efficient particle model. Spiral wave...
1710.00718
Yannis Pantazis
Yannis Pantazis and Ioannis Tsamardinos
A Unified Approach for Sparse Dynamical System Inference from Temporal Measurements
13 pages, 3 figures
null
null
null
q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Temporal variations in biological systems and more generally in natural sciences are typically modelled as a set of Ordinary, Partial, or Stochastic Differential or Difference Equations. Algorithms for learning the structure and the parameters of a dynamical system are distinguished based on whether time is discrete ...
[ { "created": "Mon, 2 Oct 2017 15:16:55 GMT", "version": "v1" }, { "created": "Wed, 4 Oct 2017 18:48:45 GMT", "version": "v2" }, { "created": "Sat, 19 Jan 2019 21:25:01 GMT", "version": "v3" } ]
2019-01-23
[ [ "Pantazis", "Yannis", "" ], [ "Tsamardinos", "Ioannis", "" ] ]
Temporal variations in biological systems and more generally in natural sciences are typically modelled as a set of Ordinary, Partial, or Stochastic Differential or Difference Equations. Algorithms for learning the structure and the parameters of a dynamical system are distinguished based on whether time is discrete or...
0711.0715
Swarnendu Tripathi
Swarnendu Tripathi and John J. Portman
Inherent flexibility and protein function: the open/closed conformational transition of the N-terminal domain of calmodulin
21 pages, 8 figures
J. Chem. Phys. 128, 205104 (2008)
10.1063/1.2928634
null
q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The key to understanding a protein's function often lies in its conformational dynamics. We develop a coarse-grained variational model to investigate the interplay between structural transitions, conformational flexibility and function of N-terminal calmodulin (nCaM) domain. In this model, two energy basins correspon...
[ { "created": "Mon, 5 Nov 2007 18:29:14 GMT", "version": "v1" }, { "created": "Thu, 10 Jul 2008 17:13:30 GMT", "version": "v2" } ]
2008-07-10
[ [ "Tripathi", "Swarnendu", "" ], [ "Portman", "John J.", "" ] ]
The key to understanding a protein's function often lies in its conformational dynamics. We develop a coarse-grained variational model to investigate the interplay between structural transitions, conformational flexibility and function of N-terminal calmodulin (nCaM) domain. In this model, two energy basins correspondi...
1107.4104
Jiapu Zhang
Jiapu Zhang, David Y. Gao, and Johh Yearwood
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling
null
J Theor Biol 284 (1) 149-157 (2011); selected by Protein Crystallography Newsletter Volume 3, No. 9, September 2011, Crystallography Times; Prions Research Today Volume 7 Issue 7, July 2011, p.14; the 18th of the Top 25 Hottest Articles (picked up from papers of Jul 2011 to Sept 2011 of J Theor Biol)
10.1016/j.jtbi.2011.06.024
null
q-bio.BM cs.CE math-ph math.MP math.OC
http://creativecommons.org/licenses/by-nc-sa/3.0/
Many experimental studies have shown that the prion AGAAAAGA palindrome hydrophobic region (113-120) has amyloid fibril forming properties and plays an important role in prion diseases. However, due to the unstable, noncrystalline and insoluble nature of the amyloid fibril, to date structural information on AGAAAAGA ...
[ { "created": "Mon, 18 Jul 2011 23:20:34 GMT", "version": "v1" } ]
2013-12-10
[ [ "Zhang", "Jiapu", "" ], [ "Gao", "David Y.", "" ], [ "Yearwood", "Johh", "" ] ]
Many experimental studies have shown that the prion AGAAAAGA palindrome hydrophobic region (113-120) has amyloid fibril forming properties and plays an important role in prion diseases. However, due to the unstable, noncrystalline and insoluble nature of the amyloid fibril, to date structural information on AGAAAAGA re...
1912.00985
Joana Fradinho
Joana Fradinho, Adrian Oehmen and Maria Reis
Improving polyhydroxyalkanoates production in phototrophic mixed cultures by optimizing accumulator reactor operating conditions
29 pages, 4 figures, 4 tables
null
10.1016/j.ijbiomac.2018.12.270
null
q-bio.OT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polyhydroxyalkanoates (PHAs) production with phototrophic mixed cultures (PMCs) has been recently proposed. These cultures can be selected under the permanent presence of carbon and the PHA production can be enhanced in subsequent accumulation steps. To optimize the PHA production in accumulator reactors, this work e...
[ { "created": "Mon, 2 Dec 2019 18:23:42 GMT", "version": "v1" } ]
2019-12-03
[ [ "Fradinho", "Joana", "" ], [ "Oehmen", "Adrian", "" ], [ "Reis", "Maria", "" ] ]
Polyhydroxyalkanoates (PHAs) production with phototrophic mixed cultures (PMCs) has been recently proposed. These cultures can be selected under the permanent presence of carbon and the PHA production can be enhanced in subsequent accumulation steps. To optimize the PHA production in accumulator reactors, this work eva...
2209.05688
M. Ali Al-Radhawi
M. Ali Al-Radhawi, Shubham Tripathi, Yun Zhang, Eduardo D. Sontag, and Herbert Levine
Epigenetic factor competition reshapes the EMT landscape
null
Proc Natl Acad Sci USA, 119:e2210844119, 2022
10.1073/pnas.2210844119
null
q-bio.MN q-bio.QM
http://creativecommons.org/licenses/by-nc-nd/4.0/
The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene regulatory elements. These elements include chromatin remodelers, histone modifiers, transcription factors, and regulatory RNAs. Mathematical mode...
[ { "created": "Tue, 13 Sep 2022 01:57:49 GMT", "version": "v1" } ]
2022-10-19
[ [ "Al-Radhawi", "M. Ali", "" ], [ "Tripathi", "Shubham", "" ], [ "Zhang", "Yun", "" ], [ "Sontag", "Eduardo D.", "" ], [ "Levine", "Herbert", "" ] ]
The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene regulatory elements. These elements include chromatin remodelers, histone modifiers, transcription factors, and regulatory RNAs. Mathematical models...
1210.5348
Erich Schmid
Erich W. Schmid and Wolfgang Fink
Operational Design Considerations for Retinal Prostheses
null
null
null
null
q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Three critical improvements for present day and future retinal vision implants are proposed and discussed: (1) A time profile for the stimulation current that leads predominantly to transverse stimulation of nerve cells; (2) auxiliary electric currents for electric field shaping with a time profile chosen such that t...
[ { "created": "Fri, 19 Oct 2012 09:07:33 GMT", "version": "v1" } ]
2012-10-22
[ [ "Schmid", "Erich W.", "" ], [ "Fink", "Wolfgang", "" ] ]
Three critical improvements for present day and future retinal vision implants are proposed and discussed: (1) A time profile for the stimulation current that leads predominantly to transverse stimulation of nerve cells; (2) auxiliary electric currents for electric field shaping with a time profile chosen such that the...
2401.00102
Phuc Nguyen
Phuc Nguyen, Rohit Arora, Elliot D. Hill, Jasper Braun, Alexandra Morgan, Liza M. Quintana, Gabrielle Mazzoni, Ghee Rye Lee, Rima Arnaout, Ramy Arnaout
$\textit{greylock}$: A Python Package for Measuring The Composition of Complex Datasets
42 pages, many figures. Many thanks to Ralf Bundschuh for help with the submission process
null
null
null
q-bio.QM
http://creativecommons.org/licenses/by-nc-sa/4.0/
Machine-learning datasets are typically characterized by measuring their size and class balance. However, there exists a richer and potentially more useful set of measures, termed diversity measures, that incorporate elements' frequencies and between-element similarities. Although these have been available in the R a...
[ { "created": "Fri, 29 Dec 2023 23:51:48 GMT", "version": "v1" } ]
2024-01-02
[ [ "Nguyen", "Phuc", "" ], [ "Arora", "Rohit", "" ], [ "Hill", "Elliot D.", "" ], [ "Braun", "Jasper", "" ], [ "Morgan", "Alexandra", "" ], [ "Quintana", "Liza M.", "" ], [ "Mazzoni", "Gabrielle", "" ], [ ...
Machine-learning datasets are typically characterized by measuring their size and class balance. However, there exists a richer and potentially more useful set of measures, termed diversity measures, that incorporate elements' frequencies and between-element similarities. Although these have been available in the R and...
2103.09563
Werner M\"uller
Elham Yousefi and Werner G. M\"uller
Impact of the error structure on the design and analysis of enzyme kinetic models
null
null
null
null
q-bio.MN stat.ME
http://creativecommons.org/licenses/by/4.0/
The statistical analysis of enzyme kinetic reactions usually involves models of the response functions which are well defined on the basis of Michaelis-Menten type equations. The error structure however is often without good reason assumed as additive Gaussian noise. This simple assumption may lead to undesired prope...
[ { "created": "Wed, 17 Mar 2021 10:59:23 GMT", "version": "v1" } ]
2021-03-19
[ [ "Yousefi", "Elham", "" ], [ "Müller", "Werner G.", "" ] ]
The statistical analysis of enzyme kinetic reactions usually involves models of the response functions which are well defined on the basis of Michaelis-Menten type equations. The error structure however is often without good reason assumed as additive Gaussian noise. This simple assumption may lead to undesired propert...
1712.00843
Marinka Zitnik
Monica Agrawal, Marinka Zitnik, Jure Leskovec
Large-scale analysis of disease pathways in the human interactome
null
Pacific Symposium on Biocomputing 23:111-122(2018)
null
null
q-bio.MN cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Discovering disease pathways, which can be defined as sets of proteins associated with a given disease, is an important problem that has the potential to provide clinically actionable insights for disease diagnosis, prognosis, and treatment. Computational methods aid the discovery by relying on protein-protein intera...
[ { "created": "Sun, 3 Dec 2017 21:51:07 GMT", "version": "v1" } ]
2017-12-05
[ [ "Agrawal", "Monica", "" ], [ "Zitnik", "Marinka", "" ], [ "Leskovec", "Jure", "" ] ]
Discovering disease pathways, which can be defined as sets of proteins associated with a given disease, is an important problem that has the potential to provide clinically actionable insights for disease diagnosis, prognosis, and treatment. Computational methods aid the discovery by relying on protein-protein interact...
1611.08929
Md Jahoor Alam
Md. Jahoor Alam
GnRH induced Phase Synchrony of Coupled Neurons
9 pages, 3 figures
null
null
null
q-bio.MN q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gonadotropin-releasing hormone (GnRH) is reported to control mammalian reproductive processes. GnRH a neurohormone which is pulsatile released into the pituitary portal blood by hypothalamic GnRH neurons. In the present study, the phase synchronization among a population of identical neurons subjected to a pool of co...
[ { "created": "Sun, 27 Nov 2016 22:43:24 GMT", "version": "v1" } ]
2016-12-06
[ [ "Alam", "Md. Jahoor", "" ] ]
Gonadotropin-releasing hormone (GnRH) is reported to control mammalian reproductive processes. GnRH a neurohormone which is pulsatile released into the pituitary portal blood by hypothalamic GnRH neurons. In the present study, the phase synchronization among a population of identical neurons subjected to a pool of coup...
2108.05848
Ilan Gronau
Zehavit Leibovich and Ilan Gronau
Eliminating unwanted patterns with minimal interference
This research was done as part of Zehavit Leibovich's dissertation for an M.Sc degree in Computer Science. Relevant code available at https://github.com/zehavitc/EliminatingDNAPatterns.git
null
null
null
q-bio.BM cs.CE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Artificial synthesis of DNA molecules is an essential part of the study of biological mechanisms. The design of a synthetic DNA molecule usually involves many objectives. One of the important objectives is to eliminate short sequence patterns that correspond to binding sites of restriction enzymes or transcription fa...
[ { "created": "Tue, 3 Aug 2021 19:51:43 GMT", "version": "v1" } ]
2021-08-13
[ [ "Leibovich", "Zehavit", "" ], [ "Gronau", "Ilan", "" ] ]
Artificial synthesis of DNA molecules is an essential part of the study of biological mechanisms. The design of a synthetic DNA molecule usually involves many objectives. One of the important objectives is to eliminate short sequence patterns that correspond to binding sites of restriction enzymes or transcription fact...
2206.13345
Weifeng Li
Zechen Wang, Liangzhen Zheng, Sheng Wang, Mingzhi Lin, Zhihao Wang, Adams Wai-Kin Kong, Yuguang Mu, Yanjie Wei, Weifeng Li
A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functions
null
Brief Bioinform . 2023 Jan 19;24(1):bbac520
10.1093/bib/bbac520
null
q-bio.QM q-bio.BM
http://creativecommons.org/licenses/by-nc-sa/4.0/
The machine learning (ML) and deep learning (DL) techniques are widely recognized to be powerful tools for virtual drug screening. The recently reported ML- or DL-based scoring functions have shown exciting performance in predicting protein-ligand binding affinities with fruitful application prospects. However, the d...
[ { "created": "Mon, 27 Jun 2022 14:49:40 GMT", "version": "v1" } ]
2023-07-07
[ [ "Wang", "Zechen", "" ], [ "Zheng", "Liangzhen", "" ], [ "Wang", "Sheng", "" ], [ "Lin", "Mingzhi", "" ], [ "Wang", "Zhihao", "" ], [ "Kong", "Adams Wai-Kin", "" ], [ "Mu", "Yuguang", "" ], [ "Wei", ...
The machine learning (ML) and deep learning (DL) techniques are widely recognized to be powerful tools for virtual drug screening. The recently reported ML- or DL-based scoring functions have shown exciting performance in predicting protein-ligand binding affinities with fruitful application prospects. However, the dif...
2311.16946
Jacob Durrant
Mayar Ahmed, Alex M. Maldonado, Jacob D. Durrant
From Byte to Bench to Bedside: Molecular Dynamics Simulations and Drug Discovery
15 pages including references, 0 figures
null
null
null
q-bio.QM q-bio.BM
http://creativecommons.org/licenses/by-sa/4.0/
Molecular dynamics (MD) simulations and computer-aided drug design (CADD) have advanced substantially over the past two decades, thanks to continuous computer hardware and software improvements. Given these advancements, MD simulations are poised to become even more powerful tools for investigating the dynamic intera...
[ { "created": "Tue, 28 Nov 2023 16:49:04 GMT", "version": "v1" } ]
2023-11-29
[ [ "Ahmed", "Mayar", "" ], [ "Maldonado", "Alex M.", "" ], [ "Durrant", "Jacob D.", "" ] ]
Molecular dynamics (MD) simulations and computer-aided drug design (CADD) have advanced substantially over the past two decades, thanks to continuous computer hardware and software improvements. Given these advancements, MD simulations are poised to become even more powerful tools for investigating the dynamic interact...
1806.08454
Dalit Engelhardt
Dalit Engelhardt and Eugene I. Shakhnovich
Mutation rate variability as a driving force in adaptive evolution
null
Phys. Rev. E 99, 022424 (2019)
10.1103/PhysRevE.99.022424
null
q-bio.PE physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by selective pressure. Here we investigate the dynamics of resistance fixation i...
[ { "created": "Thu, 21 Jun 2018 23:30:17 GMT", "version": "v1" }, { "created": "Sun, 3 Feb 2019 17:30:17 GMT", "version": "v2" } ]
2019-03-01
[ [ "Engelhardt", "Dalit", "" ], [ "Shakhnovich", "Eugene I.", "" ] ]
Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by selective pressure. Here we investigate the dynamics of resistance fixation in ...
2203.10867
Emilio N.M. Cirillo
Claudio Durastanti and Emilio N.M. Cirillo and Ilaria De Benedictis and Mario Ledda and Antonio Sciortino and Antonella Lisi and Annalisa Convertino and Valentina Mussi
Statistical classification for Raman spectra of tumoral genomic DNA
null
null
null
null
q-bio.QM stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We exploit Surface-Enhanced Raman Scattering (SERS) to investigate aqueous droplets of genomic DNA deposited onto silver-coated silicon nanowires and we show that it is possible to efficiently discriminate between spectra of tumoral and healthy cells. To assess the robustness of the proposed technique, we develop two...
[ { "created": "Mon, 21 Mar 2022 10:41:07 GMT", "version": "v1" } ]
2022-03-22
[ [ "Durastanti", "Claudio", "" ], [ "Cirillo", "Emilio N. M.", "" ], [ "De Benedictis", "Ilaria", "" ], [ "Ledda", "Mario", "" ], [ "Sciortino", "Antonio", "" ], [ "Lisi", "Antonella", "" ], [ "Convertino", "Annal...
We exploit Surface-Enhanced Raman Scattering (SERS) to investigate aqueous droplets of genomic DNA deposited onto silver-coated silicon nanowires and we show that it is possible to efficiently discriminate between spectra of tumoral and healthy cells. To assess the robustness of the proposed technique, we develop two d...
2301.03408
Christine Ahrends
Christine Ahrends (1), Diego Vidaurre (1 and 2) ((1) Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Denmark, (2) Department of Psychiatry, University of Oxford, United Kingdom)
Dynamic Functional Connectivity
null
null
null
null
q-bio.NC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Most generally, dynamic functional connectivity (FC) refers to the non-instantaneous couplings across timeseries from a set of brain areas, here as measured by fMRI. This is in contrast to static FC, which is defined as purely instantaneous relations. In this chapter, we provide a hands-on description of a non-exhaus...
[ { "created": "Mon, 9 Jan 2023 15:04:12 GMT", "version": "v1" } ]
2023-01-10
[ [ "Ahrends", "Christine", "", "1 and 2" ], [ "Vidaurre", "Diego", "", "1 and 2" ] ]
Most generally, dynamic functional connectivity (FC) refers to the non-instantaneous couplings across timeseries from a set of brain areas, here as measured by fMRI. This is in contrast to static FC, which is defined as purely instantaneous relations. In this chapter, we provide a hands-on description of a non-exhausti...
1806.06412
Yuri A. Dabaghian
Luca Perotti, Justin DeVito, Daniel Bessis, Yuri Dabaghian
Discrete structure of the brain rhythms
17 pages, 9 figures
null
null
null
q-bio.QM q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neuronal activity in the brain generates synchronous oscillations of the Local Field Potential (LFP). The traditional analyses of the LFPs are based on decomposing the signal into simpler components, such as sinusoidal harmonics. However, a common drawback of such methods is that the decomposition primitives are usua...
[ { "created": "Sun, 17 Jun 2018 16:42:50 GMT", "version": "v1" } ]
2018-06-19
[ [ "Perotti", "Luca", "" ], [ "DeVito", "Justin", "" ], [ "Bessis", "Daniel", "" ], [ "Dabaghian", "Yuri", "" ] ]
Neuronal activity in the brain generates synchronous oscillations of the Local Field Potential (LFP). The traditional analyses of the LFPs are based on decomposing the signal into simpler components, such as sinusoidal harmonics. However, a common drawback of such methods is that the decomposition primitives are usuall...
1503.05440
Lionel Roques
L. Roques, E. Walker, P. Franck, S. Soubeyrand, E. K. Klein
Using genetic data to estimate diffusion rates in heterogeneous landscapes
null
null
null
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Having a precise knowledge of the dispersal ability of a population in a heterogeneous environment is of critical importance in agroecology and conservation biology as it can provide management tools to limit the effects of pests or to increase the survival of endangered species. In this paper, we propose a mechanist...
[ { "created": "Wed, 18 Mar 2015 15:03:16 GMT", "version": "v1" } ]
2015-03-19
[ [ "Roques", "L.", "" ], [ "Walker", "E.", "" ], [ "Franck", "P.", "" ], [ "Soubeyrand", "S.", "" ], [ "Klein", "E. K.", "" ] ]
Having a precise knowledge of the dispersal ability of a population in a heterogeneous environment is of critical importance in agroecology and conservation biology as it can provide management tools to limit the effects of pests or to increase the survival of endangered species. In this paper, we propose a mechanistic...
1705.10854
Larissa Albantakis
Larissa Albantakis
A Tale of Two Animats: What does it take to have goals?
This article is a contribution to the FQXi 2016-2017 essay contest "Wandering Towards a Goal"
null
null
null
q-bio.NC cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
What does it take for a system, biological or not, to have goals? Here, this question is approached in the context of in silico artificial evolution. By examining the informational and causal properties of artificial organisms ('animats') controlled by small, adaptive neural networks (Markov Brains), this essay discu...
[ { "created": "Tue, 30 May 2017 20:19:17 GMT", "version": "v1" } ]
2017-06-01
[ [ "Albantakis", "Larissa", "" ] ]
What does it take for a system, biological or not, to have goals? Here, this question is approached in the context of in silico artificial evolution. By examining the informational and causal properties of artificial organisms ('animats') controlled by small, adaptive neural networks (Markov Brains), this essay discuss...
1611.01037
Valery Kirzhner
Valery Kirzhner, Zeev Volkovich, Renata Avros and Katerina Korenblat
Analysis of Metagenome Composition by the Method of Random Primers
18 pages, 4 figures
null
null
null
q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Metagenome, a mixture of different genomes (as a rule, bacterial), represents a pattern, and the analysis of its composition is, currently, one of the challenging problems of bioinformatics. In the present study, the possibility of evaluating metagenome composition by DNA-marker methods is investigated. These methods...
[ { "created": "Wed, 2 Nov 2016 18:43:14 GMT", "version": "v1" } ]
2016-11-04
[ [ "Kirzhner", "Valery", "" ], [ "Volkovich", "Zeev", "" ], [ "Avros", "Renata", "" ], [ "Korenblat", "Katerina", "" ] ]
Metagenome, a mixture of different genomes (as a rule, bacterial), represents a pattern, and the analysis of its composition is, currently, one of the challenging problems of bioinformatics. In the present study, the possibility of evaluating metagenome composition by DNA-marker methods is investigated. These methods a...
1603.01789
Pu Tian
Shiyang Long and Pu Tian
Nonlinear backbone torsional pair correlations in proteins
25 pages, 8 figures
Scientific Report, 6:34481, 2016
10.1038/srep34481
null
q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Protein allostery requires dynamical structural correlations. Physical origin of which, however, remain elusive despite intensive studies during last two decades. Based on analysis of molecular dynamics (MD) simulation trajectories for ten proteins with different sizes and folds, we found that nonlinear backbone tors...
[ { "created": "Sun, 6 Mar 2016 05:41:23 GMT", "version": "v1" }, { "created": "Fri, 6 May 2016 02:55:23 GMT", "version": "v2" } ]
2017-02-23
[ [ "Long", "Shiyang", "" ], [ "Tian", "Pu", "" ] ]
Protein allostery requires dynamical structural correlations. Physical origin of which, however, remain elusive despite intensive studies during last two decades. Based on analysis of molecular dynamics (MD) simulation trajectories for ten proteins with different sizes and folds, we found that nonlinear backbone torsio...
1803.02136
Krzysztof Bartoszek
Krzysztof Bartoszek
Limit distribution of the quartet balance index for Aldous's b>=0-model
null
Applicationes Mathematicae 47:29-44, 2020
10.4064/am2385-6-2019
null
q-bio.PE math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper builds up on T. Martinez-Coronado, A. Mir, F. Rossello and G. Valiente's work "A balance index for phylogenetic trees based on quartets", introducing a new balance index for trees. We show here that this balance index, in the case of Aldous's b>=0-model, convergences weakly to a distribution that can be ch...
[ { "created": "Tue, 6 Mar 2018 12:17:53 GMT", "version": "v1" }, { "created": "Wed, 21 Nov 2018 19:00:11 GMT", "version": "v2" }, { "created": "Fri, 30 Aug 2019 06:26:37 GMT", "version": "v3" } ]
2020-11-23
[ [ "Bartoszek", "Krzysztof", "" ] ]
This paper builds up on T. Martinez-Coronado, A. Mir, F. Rossello and G. Valiente's work "A balance index for phylogenetic trees based on quartets", introducing a new balance index for trees. We show here that this balance index, in the case of Aldous's b>=0-model, convergences weakly to a distribution that can be char...
2405.06851
Francesca Mignacco
Francesca Mignacco, Chi-Ning Chou, SueYeon Chung
Nonlinear classification of neural manifolds with contextual information
5 pages, 5 figures
null
null
null
q-bio.NC cond-mat.dis-nn cond-mat.stat-mech cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding how neural systems efficiently process information through distributed representations is a fundamental challenge at the interface of neuroscience and machine learning. Recent approaches analyze the statistical and geometrical attributes of neural representations as population-level mechanistic descript...
[ { "created": "Fri, 10 May 2024 23:37:31 GMT", "version": "v1" } ]
2024-05-14
[ [ "Mignacco", "Francesca", "" ], [ "Chou", "Chi-Ning", "" ], [ "Chung", "SueYeon", "" ] ]
Understanding how neural systems efficiently process information through distributed representations is a fundamental challenge at the interface of neuroscience and machine learning. Recent approaches analyze the statistical and geometrical attributes of neural representations as population-level mechanistic descriptor...
1509.06863
Youdong Mao
Zhou Yu, Wei Li Wang, Luis R. Castillo-Menendez, Joseph Sodroski, Youdong Mao
On the parameters affecting dual-target-function evaluation of single-particle selection from cryo-electron micrographs
62 pages, 11 figures. arXiv admin note: text overlap with arXiv:1309.2618
BMC Bioinformatics 2019; 20:169
10.1186/s12859-019-2714-8
null
q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the analysis of frozen hydrated biomolecules by single-particle cryo-electron microscopy, template-based particle picking by a target function called fast local correlation (FLC) allows a large number of particle images to be automatically picked from micrographs. A second, independent target function based on max...
[ { "created": "Wed, 23 Sep 2015 07:13:28 GMT", "version": "v1" } ]
2019-04-16
[ [ "Yu", "Zhou", "" ], [ "Wang", "Wei Li", "" ], [ "Castillo-Menendez", "Luis R.", "" ], [ "Sodroski", "Joseph", "" ], [ "Mao", "Youdong", "" ] ]
In the analysis of frozen hydrated biomolecules by single-particle cryo-electron microscopy, template-based particle picking by a target function called fast local correlation (FLC) allows a large number of particle images to be automatically picked from micrographs. A second, independent target function based on maxim...
1206.0973
Uwe C. T\"auber
Ulrich Dobramysl and Uwe C. Tauber (Virginia Tech)
Environmental vs. demographic variability in two-species predator-prey models
5 pages, 4 figures included; to appear in Phys. Rev. Lett. (2013)
Phys. Rev. Lett. 110 (2013) 048105
10.1103/PhysRevLett.110.048105
null
q-bio.PE cond-mat.stat-mech
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the competing effects and relative importance of intrinsic demographic and environmental variability on the evolutionary dynamics of a stochastic two-species Lotka-Volterra model by means of Monte Carlo simulations on a two-dimensional lattice. Individuals are assigned inheritable predation efficiencie...
[ { "created": "Tue, 5 Jun 2012 15:59:50 GMT", "version": "v1" }, { "created": "Fri, 28 Dec 2012 17:43:28 GMT", "version": "v2" } ]
2013-01-28
[ [ "Dobramysl", "Ulrich", "", "Virginia Tech" ], [ "Tauber", "Uwe C.", "", "Virginia Tech" ] ]
We investigate the competing effects and relative importance of intrinsic demographic and environmental variability on the evolutionary dynamics of a stochastic two-species Lotka-Volterra model by means of Monte Carlo simulations on a two-dimensional lattice. Individuals are assigned inheritable predation efficiencies;...
1605.03553
Kieran Fox
Kieran C.R. Fox, Yoona Kang, Michael Lifshitz, Kalina Christoff
Increasing cognitive-emotional flexibility with meditation and hypnosis: The cognitive neuroscience of de-automatization
null
null
null
null
q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meditation and hypnosis both aim to facilitate cognitive-emotional flexibility, i.e., the "de-automatization" of thought and behavior. However, little research or theory has addressed how internal thought patterns might change after such interventions, even though alterations in the internal flow of consciousness may...
[ { "created": "Wed, 11 May 2016 19:06:35 GMT", "version": "v1" } ]
2016-05-12
[ [ "Fox", "Kieran C. R.", "" ], [ "Kang", "Yoona", "" ], [ "Lifshitz", "Michael", "" ], [ "Christoff", "Kalina", "" ] ]
Meditation and hypnosis both aim to facilitate cognitive-emotional flexibility, i.e., the "de-automatization" of thought and behavior. However, little research or theory has addressed how internal thought patterns might change after such interventions, even though alterations in the internal flow of consciousness may p...
2210.02183
Fabiano L. Ribeiro
William Roberto Luiz S. Pereira and Fabiano L. Ribeiro
The metabolic origins of big size in aquatic mammals
null
null
null
null
q-bio.PE q-bio.QM
http://creativecommons.org/licenses/by-nc-sa/4.0/
The group of large aquatic mammals has representatives being the largest living beings on earth, surpassing the weight and size of dinosaurs. In this paper, we present some empirical evidence and a mathematical model to argue that fat accumulation in marine mammals triggers a series of metabolic events that result in...
[ { "created": "Tue, 4 Oct 2022 17:32:33 GMT", "version": "v1" } ]
2022-10-06
[ [ "Pereira", "William Roberto Luiz S.", "" ], [ "Ribeiro", "Fabiano L.", "" ] ]
The group of large aquatic mammals has representatives being the largest living beings on earth, surpassing the weight and size of dinosaurs. In this paper, we present some empirical evidence and a mathematical model to argue that fat accumulation in marine mammals triggers a series of metabolic events that result in t...
0710.1622
Peter Csermely
Robin Palotai, Mate S. Szalay, Peter Csermely
Chaperones as integrators of cellular networks: Changes of cellular integrity in stress and diseases
13 pages, 3 figures, 1 glossary
IUBMB Life (2008) 60, 10-15
10.1002/iub.8
null
q-bio.MN
null
Cellular networks undergo rearrangements during stress and diseases. In un-stressed state the yeast protein-protein interaction network (interactome) is highly compact, and the centrally organized modules have a large overlap. During stress several original modules became more separated, and a number of novel modules...
[ { "created": "Mon, 8 Oct 2007 19:32:35 GMT", "version": "v1" }, { "created": "Sat, 23 Feb 2008 20:16:18 GMT", "version": "v2" } ]
2008-02-23
[ [ "Palotai", "Robin", "" ], [ "Szalay", "Mate S.", "" ], [ "Csermely", "Peter", "" ] ]
Cellular networks undergo rearrangements during stress and diseases. In un-stressed state the yeast protein-protein interaction network (interactome) is highly compact, and the centrally organized modules have a large overlap. During stress several original modules became more separated, and a number of novel modules a...
1607.05398
Ross McVinish
R.J.G. Lester and R. McVinish
What causes the increase in aggregation as a parasite moves up a food chain?
This is a preprint. The definitive version has been published under the title "Does moving up a food chain increase aggregation in parasites?"
Journal of the Royal Society Interface, 13 (2016) 20160102
10.1098/rsif.2016.0102
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
General laws in ecological parasitology are scarce. Here we evaluate data published by over 100 authors to determine whether the number of hosts in a life cycle is associated with the degree of aggregation of fish parasites at different stages. Parasite species were grouped taxonomically to produce 20 or more data po...
[ { "created": "Tue, 19 Jul 2016 04:24:26 GMT", "version": "v1" } ]
2016-07-20
[ [ "Lester", "R. J. G.", "" ], [ "McVinish", "R.", "" ] ]
General laws in ecological parasitology are scarce. Here we evaluate data published by over 100 authors to determine whether the number of hosts in a life cycle is associated with the degree of aggregation of fish parasites at different stages. Parasite species were grouped taxonomically to produce 20 or more data poin...
1007.4461
Tsvi Tlusty
Yonatan Savir, Elad Noor, Ron Milo and Tsvi Tlusty
Cross-species analysis traces adaptation of Rubisco towards optimality in a low dimensional landscape
http://www.pnas.org/content/107/8/3475.short http://www.ncbi.nlm.nih.gov/pubmed/20142476 http://www.weizmann.ac.il/complex/tlusty/papers/PNAS2010.pdf
PNAS February 23, 2010 vol. 107 no. 8 3475-3480
10.1073/pnas.0911663107
null
q-bio.BM physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rubisco, probably the most abundant protein in the biosphere, performs an essential part in the process of carbon fixation through photosynthesis thus facilitating life on earth. Despite the significant effect that Rubisco has on the fitness of plants and other photosynthetic organisms, this enzyme is known to have a...
[ { "created": "Mon, 26 Jul 2010 13:51:15 GMT", "version": "v1" } ]
2010-07-27
[ [ "Savir", "Yonatan", "" ], [ "Noor", "Elad", "" ], [ "Milo", "Ron", "" ], [ "Tlusty", "Tsvi", "" ] ]
Rubisco, probably the most abundant protein in the biosphere, performs an essential part in the process of carbon fixation through photosynthesis thus facilitating life on earth. Despite the significant effect that Rubisco has on the fitness of plants and other photosynthetic organisms, this enzyme is known to have a r...
1409.0675
Felix Polyakov
Felix Polyakov
Affine differential geometry and smoothness maximization as tools for identifying geometric movement primitives
The current version of the manuscript is result of significant revision. It contains novel solutions, some formulations and explanations have been corrected and in many parts of the text improved. The manuscript now contains discussion about performance of the compromised motor control system in the framework o...
null
null
null
q-bio.NC math.DG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neuroscientific studies of drawing-like movements usually analyze neural representation of either geometric (eg. direction, shape) or temporal (eg. speed) features of trajectories rather than trajectory's representation as a whole. This work is about empirically supported mathematical ideas behind splitting and mergi...
[ { "created": "Tue, 2 Sep 2014 11:50:34 GMT", "version": "v1" }, { "created": "Thu, 16 Oct 2014 18:51:10 GMT", "version": "v2" }, { "created": "Mon, 29 Dec 2014 20:53:43 GMT", "version": "v3" }, { "created": "Wed, 27 Jan 2016 20:47:11 GMT", "version": "v4" } ]
2016-01-28
[ [ "Polyakov", "Felix", "" ] ]
Neuroscientific studies of drawing-like movements usually analyze neural representation of either geometric (eg. direction, shape) or temporal (eg. speed) features of trajectories rather than trajectory's representation as a whole. This work is about empirically supported mathematical ideas behind splitting and merging...
1109.6231
Jeremy Gunawardena
Jeremy Gunawardena
A linear elimination framework
27 pages, 8 figures
null
null
null
q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Key insights in molecular biology, such as enzyme kinetics, protein allostery and gene regulation emerged from quantitative analysis based on time-scale separation, allowing internal complexity to be eliminated and resulting in the well-known formulas of Michaelis-Menten, Monod-Wyman-Changeux and Ackers-Johnson-Shea....
[ { "created": "Wed, 28 Sep 2011 15:04:51 GMT", "version": "v1" } ]
2011-09-29
[ [ "Gunawardena", "Jeremy", "" ] ]
Key insights in molecular biology, such as enzyme kinetics, protein allostery and gene regulation emerged from quantitative analysis based on time-scale separation, allowing internal complexity to be eliminated and resulting in the well-known formulas of Michaelis-Menten, Monod-Wyman-Changeux and Ackers-Johnson-Shea. I...
2406.17086
Yifan Yang
Yifan Yang, Yutong Mao, Xufu Liu, Xiao Liu
BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals
27 pages, 16 figures
null
null
null
q-bio.QM cs.LG q-bio.NC
http://creativecommons.org/licenses/by/4.0/
The human brain is a complex, dynamic network, which is commonly studied using functional magnetic resonance imaging (fMRI) and modeled as network of Regions of interest (ROIs) for understanding various brain functions. Recent studies utilize deep learning approaches to learn the brain network representation based on...
[ { "created": "Mon, 24 Jun 2024 19:16:24 GMT", "version": "v1" } ]
2024-06-26
[ [ "Yang", "Yifan", "" ], [ "Mao", "Yutong", "" ], [ "Liu", "Xufu", "" ], [ "Liu", "Xiao", "" ] ]
The human brain is a complex, dynamic network, which is commonly studied using functional magnetic resonance imaging (fMRI) and modeled as network of Regions of interest (ROIs) for understanding various brain functions. Recent studies utilize deep learning approaches to learn the brain network representation based on f...
2402.16854
Divahar Sivanesan
Divahar Sivanesan
Attention Based Molecule Generation via Hierarchical Variational Autoencoder
null
null
null
null
q-bio.BM cs.LG
http://creativecommons.org/licenses/by/4.0/
Molecule generation is a task made very difficult by the complex ways in which we represent molecules computationally. A common technique used in molecular generative modeling is to use SMILES strings with recurrent neural networks built into variational autoencoders - but these suffer from a myriad of issues: vanish...
[ { "created": "Thu, 18 Jan 2024 21:45:12 GMT", "version": "v1" } ]
2024-02-28
[ [ "Sivanesan", "Divahar", "" ] ]
Molecule generation is a task made very difficult by the complex ways in which we represent molecules computationally. A common technique used in molecular generative modeling is to use SMILES strings with recurrent neural networks built into variational autoencoders - but these suffer from a myriad of issues: vanishin...
1201.5211
Alexei Ryabov
Alexei B. Ryabov
Phytoplankton competition in deep biomass maximum
13 pages, 7 figures; Theoretical Ecology 2012
null
10.1007/s12080-012-0158-0
null
q-bio.PE nlin.AO nlin.PS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Resource competition in heterogeneous environments is still an unresolved problem of theoretical ecology. In this article I analyze competition between two phytoplankton species in a deep water column, where the distributions of main resources (light and a limiting nutrient) have opposing gradients and co-limitation ...
[ { "created": "Wed, 25 Jan 2012 09:22:13 GMT", "version": "v1" } ]
2012-01-26
[ [ "Ryabov", "Alexei B.", "" ] ]
Resource competition in heterogeneous environments is still an unresolved problem of theoretical ecology. In this article I analyze competition between two phytoplankton species in a deep water column, where the distributions of main resources (light and a limiting nutrient) have opposing gradients and co-limitation by...
1004.4387
Areejit Samal
Pierre-Yves Bourguignon, Areejit Samal, Fran\c{c}ois K\'ep\`es, J\"urgen Jost, Olivier C. Martin
Challenges in experimental data integration within genome-scale metabolic models
5 pages
Algorithms for Molecular Biology, 5:20 (2010) http://www.almob.org/content/5/1/20
null
null
q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A report of the meeting "Challenges in experimental data integration within genome-scale metabolic models", Institut Henri Poincar\'e, Paris, October 10-11 2009, organized by the CNRS-MPG joint program in Systems Biology.
[ { "created": "Sun, 25 Apr 2010 22:41:35 GMT", "version": "v1" } ]
2010-04-27
[ [ "Bourguignon", "Pierre-Yves", "" ], [ "Samal", "Areejit", "" ], [ "Képès", "François", "" ], [ "Jost", "Jürgen", "" ], [ "Martin", "Olivier C.", "" ] ]
A report of the meeting "Challenges in experimental data integration within genome-scale metabolic models", Institut Henri Poincar\'e, Paris, October 10-11 2009, organized by the CNRS-MPG joint program in Systems Biology.
1304.1565
Muhammad Asim Mubeen
Asim M. Mubeen, Kevin H. Knuth
Bayesian Odds-Ratio Filters: A Template-Based Method for Online Detection of P300 Evoked Responses
9 pages, 3 figures
null
null
null
q-bio.NC physics.med-ph stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Template-based signal detection most often relies on computing a correlation, or a dot product, between an incoming data stream and a signal template. While such a correlation results in an ongoing estimate of the magnitude of the signal in the data stream, it does not directly indicate the presence or absence of a s...
[ { "created": "Thu, 4 Apr 2013 21:27:40 GMT", "version": "v1" } ]
2013-04-08
[ [ "Mubeen", "Asim M.", "" ], [ "Knuth", "Kevin H.", "" ] ]
Template-based signal detection most often relies on computing a correlation, or a dot product, between an incoming data stream and a signal template. While such a correlation results in an ongoing estimate of the magnitude of the signal in the data stream, it does not directly indicate the presence or absence of a sig...
2006.00115
Daniel Moyer
Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
Overview of Scanner Invariant Representations
Accepted as a short paper in MIDL 2020. In accordance with the MIDL 2020 Call for Papers, this short paper is an overview of an already published work arXiv:1904.05375, and was submitted to MIDL in order to allow presentation and discussion at the meeting
null
null
MIDL/2020/ExtendedAbstract/yqm9RD_XHT
q-bio.QM cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pooled imaging data from multiple sources is subject to bias from each source. Studies that do not correct for these scanner/site biases at best lose statistical power, and at worst leave spurious correlations in their data. Estimation of the bias effects is non-trivial due to the paucity of data with correspondence ...
[ { "created": "Fri, 29 May 2020 22:56:47 GMT", "version": "v1" } ]
2020-06-02
[ [ "Moyer", "Daniel", "" ], [ "Steeg", "Greg Ver", "" ], [ "Thompson", "Paul M.", "" ] ]
Pooled imaging data from multiple sources is subject to bias from each source. Studies that do not correct for these scanner/site biases at best lose statistical power, and at worst leave spurious correlations in their data. Estimation of the bias effects is non-trivial due to the paucity of data with correspondence ac...
1612.07106
Xerxes D. Arsiwalla
Xerxes D. Arsiwalla and Paul Verschure
The Global Dynamical Complexity of the Human Brain Network
16 pages, 6 figures
null
10.1007/s41109-016-0018-8
null
q-bio.NC cs.IT math.DS math.IT physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How much information do large brain networks integrate as a whole over the sum of their parts? Can the dynamical complexity of such networks be globally quantified in an information-theoretic way and be meaningfully coupled to brain function? Recently, measures of dynamical complexity such as integrated information h...
[ { "created": "Wed, 21 Dec 2016 13:44:31 GMT", "version": "v1" } ]
2016-12-22
[ [ "Arsiwalla", "Xerxes D.", "" ], [ "Verschure", "Paul", "" ] ]
How much information do large brain networks integrate as a whole over the sum of their parts? Can the dynamical complexity of such networks be globally quantified in an information-theoretic way and be meaningfully coupled to brain function? Recently, measures of dynamical complexity such as integrated information hav...
1701.07061
Diego Mateos
D. M. Mateos, R. Guevara Erra, R. Wennberg, J.L. Perez Velazquez
Measures of Entropy and Complexity in altered states of consciousness
2 figures
null
null
null
q-bio.NC cond-mat.stat-mech
http://creativecommons.org/publicdomain/zero/1.0/
Quantification of complexity in neurophysiological signals has been studied using different methods, especially those from information or dynamical system theory. These studies revealed the dependence on different states of consciousness, particularly that wakefulness is characterized by larger complexity of brain si...
[ { "created": "Mon, 9 Jan 2017 20:10:15 GMT", "version": "v1" } ]
2017-01-26
[ [ "Mateos", "D. M.", "" ], [ "Erra", "R. Guevara", "" ], [ "Wennberg", "R.", "" ], [ "Velazquez", "J. L. Perez", "" ] ]
Quantification of complexity in neurophysiological signals has been studied using different methods, especially those from information or dynamical system theory. These studies revealed the dependence on different states of consciousness, particularly that wakefulness is characterized by larger complexity of brain sign...
1707.00180
Melanie Weber
Melanie Weber, Johannes Stelzer, Emil Saucan, Alexander Naitsat, Gabriele Lohmann and J\"urgen Jost
Curvature-based Methods for Brain Network Analysis
Under Review
null
null
null
q-bio.NC cs.DM cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The human brain forms functional networks on all spatial scales. Modern fMRI scanners allow to resolve functional brain data in high resolutions, allowing to study large-scale networks that relate to cognitive processes. The analysis of such networks forms a cornerstone of experimental neuroscience. Due to the immens...
[ { "created": "Sat, 1 Jul 2017 17:55:28 GMT", "version": "v1" }, { "created": "Mon, 13 May 2019 16:03:12 GMT", "version": "v2" } ]
2019-05-14
[ [ "Weber", "Melanie", "" ], [ "Stelzer", "Johannes", "" ], [ "Saucan", "Emil", "" ], [ "Naitsat", "Alexander", "" ], [ "Lohmann", "Gabriele", "" ], [ "Jost", "Jürgen", "" ] ]
The human brain forms functional networks on all spatial scales. Modern fMRI scanners allow to resolve functional brain data in high resolutions, allowing to study large-scale networks that relate to cognitive processes. The analysis of such networks forms a cornerstone of experimental neuroscience. Due to the immense ...
2004.14767
Helmut Hlavacs
Helmut Hlavacs
How Often Should People be Tested for Corona to Avoid a Shutdown?
Please comment
null
null
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on the well known SIR model, this paper develops a model for predicting the number of necessary testings of asymptomatic persons in order to push Reff below 1, thus suppressing an outbreak. The model considers R0, time for obtaining a test result, and effect of population discipline. The outcome are closed form...
[ { "created": "Mon, 27 Apr 2020 17:59:47 GMT", "version": "v1" } ]
2020-05-01
[ [ "Hlavacs", "Helmut", "" ] ]
Based on the well known SIR model, this paper develops a model for predicting the number of necessary testings of asymptomatic persons in order to push Reff below 1, thus suppressing an outbreak. The model considers R0, time for obtaining a test result, and effect of population discipline. The outcome are closed form e...
1504.06574
Heng Li
Heng Li
FermiKit: assembly-based variant calling for Illumina resequencing data
null
null
null
null
q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Summary: FermiKit is a variant calling pipeline for Illumina data. It de novo assembles short reads and then maps the assembly against a reference genome to call SNPs, short insertions/deletions (INDELs) and structural variations (SVs). FermiKit takes about one day to assemble 30-fold human whole-genome data on a mod...
[ { "created": "Fri, 24 Apr 2015 17:27:42 GMT", "version": "v1" } ]
2015-04-27
[ [ "Li", "Heng", "" ] ]
Summary: FermiKit is a variant calling pipeline for Illumina data. It de novo assembles short reads and then maps the assembly against a reference genome to call SNPs, short insertions/deletions (INDELs) and structural variations (SVs). FermiKit takes about one day to assemble 30-fold human whole-genome data on a moder...