sha256 stringlengths 64 64 | language stringclasses 27
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|---|---|---|---|---|
b158ec2e4c6f66ea17c2364d4e03be446b9025b0fc86db0ee213e1d1b9f2eccf | Text | 6,924 | 133 | # *Danionella cerebrum* brain atlas
---
A versioned repository for **Danionella cerebrum** brain atlases and brain imaging datasets to support reproducible atlas-based analysis across structural, molecular, and functional imaging data.
This repository is designed to...
- store ... |
8b3faebcbff620c746ace5cd4db065fd4404dfe5433c824397478af827a819f6 | Text | 6,973 | 124 | # pyls
This package provides a Python interface for partial least squares (PLS) analysis, a multivariate statistical technique used to relate two sets of variables.
[](https://travis-ci.org/rmarkello/pyls)
[![CircleCI](https://circleci.com/gh/rmar... |
b02a7afcb7816c5ac8bbe379ad2983ebc693c6e3ae494f5b79b863e6669a6e8c | Text | 7,043 | 91 | <h1 align="center">SpinFlowSim: dMRI signal synthesis from spins flowing in capillary networks</h1>
<div align="center">
<img src="https://github.com/radiomicsgroup/SpinFlowSim/blob/main/examples/imgs/overview.png" width="1300" height="auto">
</div>
</div>
**Introducing SpinFlowSim**!
Here you'll find the code ... |
3811d8810d081fcc28de515670e533462bf156cdfd05fae5125ce66e99dbfb4d | Text | 7,155 | 174 |
<a href="url"><img src="./docs/molmap.log.png" align="left" height="350" width="270" ></a>
[](https://zenodo.org/badge/latestdoi/214117402)
[![Codeocean](https://img.shields.io/badge/reproduction-code... |
30287139b78333edf73688abfbac738b1cebb2e946cf5b6acd74cec8d52ae327 | Text | 7,215 | 160 | # LayNii
<img src="visuals/LayNii_Logo_v02_optimized.gif" width="450" align="right" />
This is a package of standalone layer (functional) magnetic resonance imaging (layer-fMRI) C++ programs that depends only on a C++ compiler. The purpose of this package is to provide layer-analysis software that are not (yet) in... |
82c1fec55aea5a88e94a9720df17b60fa8a7a9951ad01e622ac3c4dac8b9f197 | Text | 7,220 | 47 | # Publication Repository
Repository for Publication-Specific Analysis Scripts
Navigate the appended folders within the repository to explore analysis scripts used in particular publications
## Table of Contents
| Directory | Title | Included Analyses |
| ------------- | ------------- | --------- |
| [Scott, Terste... |
5aed11b0008748ca136d782dd7c67264057d7f218fa3c1eef8695b5e3c455af8 | Text | 7,310 | 126 | # CETYGO (CEll TYpe deconvolution GOodness)
The majority of epigenetic epidemiology studies to date have generated genome-wide profiles from bulk tissues (e.g. whole blood) however these are vulnerable to confounding from variation in cellular composition. Proxies for cellular composition can be mathematically derived... |
77c54c6e3550064c84506035b7f8edec1bdacf692c9bd0e27299b21efca50a40 | Text | 7,533 | 132 | # Auditory Attention
The repository for "_Optimized feature gains explain and predict successes and failures of human selective listening_" by Ian M. Griffith, R. Preston Hess, and Josh H. McDermott, [Nature Human Behaviour (2026)](https://www.nature.com/articles/s41562-026-02414-7).
___
... |
6b9f31c411befd9d04041ccaf95d7dbf7017d17124b0983ce901de3042a256bd | Text | 7,586 | 239 | # Adaptive CNN for Influenza Antigen Prediction
Deep learning model for predicting influenza virus antigenic properties using protein sequence embeddings.
## Overview
This repository contains an Adaptive Convolutional Neural Network (CNN) that automatically adjusts its architecture to input data dimensions. Th... |
2058ef6d9ee40d3b1ae9314bd455c6cf77fea41126bf970223c48bc039589ebd | Text | 7,596 | 124 | # Movie_reconstruction
Code to produce figures from [Bauer et al., (bioRxiv 2024)](https://www.biorxiv.org/content/10.1101/2024.06.19.599691v4). Updated version comming soon!
* To reproduce the figures from the paper, download this code and the reconstruction files. Then create an environment using the requirements_ana... |
de34fc2949c429da91676d03a0cfdb88f8e66c041c20c2a26aa4f3b89b76c62f | Text | 7,603 | 196 | # PWS Network Analysis Pipeline
#### 1. **`pipeline.py`** - Main Pipeline Controller
- Runs preprocessing, distance calculations, statistics, and gene analysis
#### 2. **`preprocessing.py`** - Data Preprocessing
- **`preprocess_isogenic()`**: Processes isogenic control data (CT2, H9)
- **`preprocess_data()`**: Proces... |
8f7702fdd454fdad124487a96ae3fa45d02af1d41adf3b5397fac6670ee1c370 | Text | 7,712 | 166 | # PyTorch Implementation of Differentiable ODE Solvers
This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost. For usage of ODE solvers in deep learning applications, see reference [... |
b55cc4b2be3e74bd39b0d44b82efa89845e19e585a04bd51e521634e07b8984e | Text | 7,741 | 117 | 
[](https://opensource.org/licenses/MIT)
[![PyPI - Version](https://img.shields.io/pypi/v/opm_unshe... |
9b23a45840a6bdc183dfd9578c38b898b29d3a1fa55a4dc0db51a4f983047239 | Text | 7,755 | 150 | # Overview of scDIAGRAM
<div align="center">
<img src="./Workflow.jpg" alt="workflow" width="600"/>
</div>
This is the code for scDIAGRAM: Detecting Chromatin Compartments from Individual Single-Cell Hi-C Matrix Using Statistical Modeling without Imputation or Reference Features. scDIAGRAM (single-cell compartments ann... |
fafd74a14f708a4da1da49765258c0fbb313ea9a31adcf9f61544319dcd37f69 | Text | 8,032 | 94 | # Arcade_DQN_Research_fMRI
[](https://doi.org/10.5281/zenodo.17085736)
Associated Repository for the [manuskript](https://www.biorxiv.org/content/10.1101/2025.09.19.677324v1).
<div style="text-align:center;">
<img src="./media/Visualization_DQN_fMRI.gif" alt="DQN" width... |
98ac564bc1743b5ba080c0f0c8308ce57408a6f7cfb9894e93011df96faf2629 | Text | 8,064 | 154 | # Overview of scDIAGRAM
<div align="center">
<img src="./Workflow.jpg" alt="workflow" width="600"/>
</div>
This is the code for scDIAGRAM: Detecting Chromatin Compartments from Individual Single-Cell Hi-C Matrix Using Statistical Modeling without Imputation or Reference Features. scDIAGRAM (single-cell compartments ann... |
0115515aa4239b9b68532f94d52c90e4b4dcd0c5988da478fc2ba01bc6d20c35 | Text | 8,098 | 110 | # Transcranial Magnetic Stimulation of Major Depressive Disorder in 'The Virtual Brain'
#### Author: Dr. Timo Hofsähs
This repository contains the code and data necessary to reproduce the results presented in the publication:
### The Virtual Brain links transcranial magnetic stimulation evoked potentials and inhibit... |
6379f9dc4b72e8de0046e46fd7bc846f64d70c895d35a295f0e26f4ad46c9704 | Text | 8,278 | 237 | [](https://github.com/astral-sh/ruff)
[](https://github.com/psf/black)
[ for the paper "General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian". The other two datasets can be found in [Dataset 2](https://doi.org/10.5281/zenodo.7553640... |
a98003ac0b85ea7d9838bd8e1168f3818fddd19231b85cd03a79d39f28df703b | Text | 8,451 | 171 | # FINAL MUTATION CATALOGUE 2023 RESULT FILES - MAY 2024 UPDATES
Output files, including the VCF and the Excel files have been updapted as of May 2024.
We are grateful to @HillJamie who reported the issue with multiple consecutive nucleotide variants and synonymous model features.
When investigating the issue, we found ... |
c8da028905b6533610c504b9f7884a1aabfbfcc95904cacb3b54919ec6590637 | Text | 8,499 | 185 | # Micro-Manager GUI for Calcium Imaging
[](https://github.com/fdrgsp/micromanager-gui/actions/workflows/ci.yml)
[](https://codecov.io/gh/fdrgsp/microm... |
805816607f0acb76638e6887de3dbfb0785c1bb1d42b78db6e4442913850835e | Text | 8,688 | 132 | # README
## 1) Introduction
This database contains processed (projected and sparsified) gold dataset, training configuration files, python environment files, and postprocesing scripts to reproduce results in the paper "MACE-H: Equivariant Electronic Hamiltonian Prediction with Many-Body Message Passing".
More inform... |
b167479e31cf86d50b349b698e70d5fe191851c27adce25f49bbe9edc921ad50 | Text | 8,804 | 147 | -------------------------------------------------------------------------------------------------
(c) 2025 Leon F. Heffer, David J. Sly, James B. Fallon, Rick Minter, Rebecca C. Felsheim,
Mathias Dietz and Stephen J. O’Leary.
This file is part of a repository that contains the data originally recorded by Heffer et
a... |
88ff54fc9a9353ada6aad28377761726954d6684dddc4dab01456e2b9386696b | Text | 9,213 | 172 | # BrainCog
---
BrainCog is an open source spiking neural network based brain-inspired
cognitive intelligence engine for Brain-inspired Artificial Intelligence, Brain-inspired Embodied AI, and brain simulation. More information on BrainCog can be found on its homepage http://www.brain-cog.network/
The current versio... |
172a3729f85dc4025beb2704e6562e456a8bd4abffe9fead91a85f66053cd3a6 | Text | 9,220 | 247 | # LiTEN
  [](https://doi.org/10.5281/zenodo.18607448)
## 🌟 About LiTEN
**LiTEN (Learning Interactions wit... |
ba2d221a597ae202fc2babd7927e269cc77bea6bebb6f91fe5512beec39e81d4 | Text | 9,291 | 56 | # Mortality_Biomarkers_LBC1936
Benchmarking plasma proteomic organ clocks against multimodal ageing biomarkers for predicting all-cause mortality risk, and identifying novel plasma proteomic signatures and biological pathways linked to mortality in the Lothian Birth Cohort 1936 (LBC1936).
Script author: Maira Pyrgiot... |
745b152a58bb07bad0a1c42b8f2b2ef0cc127edf6f8c26397bdd1d2e0c7763cb | Text | 9,354 | 164 |
[](https://github.com/guiwitz/napari-convpaint/raw/main/LICENSE)
[](https://pypi.org/project/napari-convpaint)
[![Python Version](https://img.shields.io/pypi/pyversions/napar... |
adb016a2917341b9cdbdcae8a30ab5e6f002342437c65df3a881a23040d7ade2 | Text | 9,394 | 120 | * README
This dataset, titled "Sequential reaching movements with coarticulation", accompanies a study on the hierarchical control of sequential movements. It provides tracking of the fingertip of human participants as they perform reaching/pointing movements towards multiple targets on a table in front of them.
* ... |
e55439bf2690cf3888e1ead1415d8b754aff9f91f6a272f809a6d1a9a41a78a9 | Text | 9,414 | 139 | # safety_violation_fuzzing_visual_prostheses
## Code and Supporting Files
This repository is set up as follows:
The files `main.py`, `network.py`, `boundslist.py`, and `parseinputs.py` and `deephuntermutators.py` contain the fuzzing code. The `network.py` file contains placeholders for the network under examination.... |
6d6c99cb0fa407ff4316a6b9db45a257f097bdb4d88a1bbff6bfe57ddbbd5e7d | Text | 9,523 | 150 | # RRHM Open Lab — computational companion to *Why We Phobia?* (RRHM, adversarial editions)
**Author of the theory:** Yaoharee Lahtee (Open Civil Science Initiative).
**This repository:** every number in the manuscript that came from a computation, made
reproducible — the falsification-gate battery, the coupling-extens... |
9299073f259f075afebcfbc7c6bc05eef252d4617a91af206c9ebf6a83bfd6f1 | Text | 9,820 | 130 | 
# isoSeQL
Database tool for comparing across many Iso-Seq runs analyzed through SQANTI3
SQANTI3: https://github.com/ConesaLab/SQANTI3
# Latest Updates
(January 11, 2026) isoSeQL manuscript is now on Bioinformatics! [link](doi.org/10.1093/bioinformatics/btaf680)
(October 7, 20... |
b260e77812ae569158e0435a8d754de18d265034ba536683511305751a11055b | Text | 10,862 | 233 | lang2vec
=======
A simple library for querying the [URIEL typological database](http://www.cs.cmu.edu/~dmortens/uriel.html),
and the learned language vectors from [Malaviya et al, 2017](https://arxiv.org/pdf/1707.09569.pdf).
Based on the [lang2vec tool](http://www.cs.cmu.edu/~dmortens/downloads/uriel_lang2vec_latest.... |
36fc7761106663d067534b46d78aa056dd8a67bf9a41c13d7cc8d589292b877d | Text | 11,072 | 229 | # ASAP: Allele-Specific ATAC-seq Prediction
### Early feature extraction determines performance: systematic evaluation of deep learning models for high-resolution chromatin accessibility prediction
[](https://doi.org/10.1101/gr.281042.125)
[
Follow steps for training and evaluation of UNet, CSNet3D, and nnUNet with test-time aug... |
1cb78528b91f1bb9b91bdfed78340acd1c01a55e203810c02c9f3d98f6075aa5 | Text | 11,628 | 292 |
<!-- README.md is generated from README.Rmd. Please edit that file -->
<img src="images/logo_UCR.png" width="300"/>
<img src="images/logo_with_text-01.png" width="300"/>
<img src="images/logo_banner.png"/>
### Personal light exposure dataset for San Pedro, San José, Costa Rica; collected by Universidad de Costa Ric... |
f233e488a2dac3fe2c26e9d9ab8dc70ce2c820751f4441249ee44b290c0358d3 | Text | 12,132 | 290 | # RFW
Reference based functional profile inference on WMS
## Installation recommendations
```python
conda create -n RFW python=3.7
conda activate RFW
pip install -r requirements.txt
```
## Instructions for use
### Reference database preparation
Reference database contains following four files.
> 1. fundb-COG.d... |
8249b4a0d15cdc3ef487850ef69bfba8ca82c8bf54458d3691c099be95c5b5c9 | Text | 12,263 | 204 | # Du Novo
This is a pipeline for processing duplex sequencing data without the use of a reference genome.
The pipeline was designed for use with the duplex method described in [Kennedy *et al.* 2014](https://dx.doi.org/10.1038/nprot.2014.170), but the assumptions are relatively minimal, so you should be able to apply... |
add84003b9138a409afac421afe93744311fc5760243cb4efb2bf2d24c428045 | Text | 12,464 | 198 | # The paper
This repository includes scripts and derivative data for the following paper:
Audrain, S., Milleville, S., Wilson, J., Baffoe-Bonnie, J., Gotts, S., & Martin, A. (2024). The development of functional connectivity along the hippocampal long-axis in infants. ResearchSquare.
# Abstract
Infancy is a critical ... |
f435a45813a100b6c6a903420d96efe118bccc43182f7657afd2eac6ce25c1b3 | Text | 12,930 | 215 | # PRS-CS
**PRS-CS** is a Python based command line tool that infers posterior SNP effect sizes under continuous shrinkage (CS) priors
using GWAS summary statistics and an external LD reference panel.
- Details of the development and evaluation of PRS-CS are described in: \
T Ge, CY Chen, Y Ni, YCA Feng, JW Smoller.... |
8ab48e1bac454fc4205898cce6b84be8407d5d18f392a316c40b91003219972b | Text | 13,072 | 292 | # AMR-GNN: A multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction
This is the code repository of the [paper](https://www.biorxiv.org/)
## Overview of AMR-GNN Workflow
## Installation
We use `uv` to manage Python environment and insta... |
9b7777c35d9612008f6cf450bd7dc14af6b8855e4969fbe1b4b2eef65847cca2 | Text | 13,548 | 168 | # <img src="https://user-images.githubusercontent.com/16883585/75211541-da01c680-5749-11ea-9f6c-096dc2ec4dbc.png" width="30"/> MetaMorpheus: Free, Open-Source PTM Discovery
[](https://github.com/smith-chem-wisc/MetaMorpheus/releases/latest... |
a6a25eb756e7faf9e217c3ffc499f9d9b30ccf2b93576c99117e8c0aae97f401 | Text | 14,016 | 507 | # Textstat
[](https://pypi.org/project/textstat/)
[](https://github.com/textstat/textstat/actions/workflows/test.yml)
[!... |
060f5f35c7c82965f8a9886bcf7676bc40474eb154ebbd36930104487a6c36d1 | Text | 14,083 | 210 | # VarCoNet
This repository includes all code related to our paper: VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI. The paper is currently under review.
Code developed and tested in Python 3.11.8 using PyTorch 2.1.2. Below are some necessary requireme... |
7455633414af087b09929cf8e17fe5475f1b1a2d0f892e0006508ab8e05a7809 | Text | 14,410 | 272 | # gcmi : Gaussian-Copula Mutual Information
Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
If you use this code for analysis that is published in an indexed journal or repository, please cite the following article:
RAA Ince, BL Giordano, C... |
058c4f98218ea2ed854681126b6f682c9f3beec91275781fb37e39c55d0c92ea | Text | 14,597 | 233 | # Bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants
- This repo contains code for the paper [ChromBPNet: Bias factorized, base-resolution deep learning models of chromatin accessibility reveal ... |
021a4c28fd7c7c4c5e86092765252fb1031f7ffed12339d1ed19f651da3645c5 | Text | 14,639 | 179 | # BayespRF Toolbox
The BayespRF Toolbox is a framework for specifying and comparing models of population receptive fields (pRFs). Models are probabilistic and are estimated using the variational Bayes algorithm. The toolbox is built in Matlab and depends upon [SPM](http://www.fil.ion.ucl.ac.uk/spm/).
Advantages:
- Ne... |
163856c5da8a7bbb9c5a5188fef4fdaa23c789032a6d9401d02f48d2cc26c650 | Text | 15,671 | 277 |
<!-- README.md is generated from README.Rmd using devtools::build_readme() -->
<!--  -->
<img align="left" alt="MS-DAP logo" hspace="20" vspace="10" src="doc/logo/msdap_logo_small.png">
The Mass Spectrometry Downstream Analysis Pipeline (MS-DAP) is an
open-source R pac... |
94de057754b9ad8e180c5f886f3c3eacdc29cf2afa7dc7adcb34101c9bf48d26 | Text | 16,328 | 588 | # Cross-Species Aging Knowledge Integration through a Knowledge-Grounded AI Platform Uncovers Conserved Mechanisms
### Overview
EvoAge is a comprehensive computational framework designed to accelerate discovery in:
Biomedical research
Cross-species comparative research
Biological hypothesis generation and evaluation... |
1fd0aac76b84e5c8c259bd2a81bae4d08bc39b99bae6ef7bc08f7309b2c5b1b5 | Text | 17,808 | 304 | # m6anet
m6anet is a python tool that leverages Multiple Instance Learning framework to detect m6a modifications from Nanopore Direct RNA Sequencing data
# Table of Contents
- **[Running m6Anet](#running-m6anet)**<br>
- **[Installation](#installation)**<br>
- **[Dataprep... |
5d3bce01acdade505eb4e5cb62427add5b549b4ceec28c1f983d68fc0572034f | Text | 17,855 | 359 |
<!-- README.md is generated from README.Rmd. Please edit that file -->
# `powsimR` <br/> Power analysis for bulk and <br/> single cell RNA-seq experiments <img src="vignettes/powsimR.png" align="right" width="200" />
Please also consult my Github Page of
[powsimR](https://bvieth.github.io/powsimR/) made with
[pkgdow... |
384774163addaf6690c093e17a2eb0caecc431207be3e8079ec635053c61d2e2 | Text | 18,556 | 283 | 
[](https://opensource.org/licenses/MIT)
[]... |
529f054275e2e6375050ee2e334405744ad010ea23d689b0758181c6c907cae5 | Text | 18,557 | 610 | # iAODE: Interpretable Accessibility ODE VAE for scATAC-seq
[](https://pypi.org/project/iaode/) [](https://www.python.org/downloads/) [... |
d3e9808a64d35eb32b8fc0982a6ddf31de48e7dc1cd46b5fb461cccb330e5a2e | Text | 19,924 | 349 | <div align="center">
# Solution for Sensorium 2023 Competition
[](LICENSE)
[](https://doi.org/10.5281/zenodo.10155151)
</div>
This repository contains the winning solution for the Sensor... |
7e9284556d1e130a3ccd03d85c2b8a1f0ec4e0c0d80c771ca69b96e537d53b20 | Text | 20,059 | 650 | <div align="center">
<a href="https://peterponyu.github.io/">
<img src="https://peterponyu.github.io/assets/badges/iAODE.svg" width="64" alt="ZF Lab · iAODE">
</a>
</div>
# iAODE: Interpretable Accessibility ODE VAE for scATAC-seq
[](https://pypi.org/project/... |
9248ddaad0770622b97d0c9d93957c3382a563f32a79e9fa884018681443dce3 | Text | 21,982 | 357 |
<p align="center">
<img src="https://raw.githubusercontent.com/shap/shap/main/docs/artwork/shap_header.svg" width="800" />
</p>
---
[](https://pypi.org/project/shap/)
[](https://anaconda.org/conda-forge/shap)
- [Get Started](#get-started)
- [Datasets](#datasets)
- [System Requirements](#system-requirements)
- [Advanced Setup](#advanced-setup)
- [Related Research](#related-research)
- [Citation](#citation)
- [Li... |
08976b04f4786a723be32866de2a70c14d58d2931b1489fa8939445133db107d | Text | 25,025 | 553 |
<!-- README.md is generated from README.Rmd. Please edit that file -->
# scWGCNA V 1.0.0
<!-- badges: start -->
<!-- badges: end -->
scWGCNA is an adaptation of WGCNA to work with single-cell datasets. The
functionality is presented in
<a href="http://doi.org/10.1002/dvdy.384" target="_blank">Feregrino &
Tschopp 20... |
b7596a2935045662dd95488d008f6010935d7236f7a1769d5d8fcc898ccff965 | Text | 25,321 | 431 | # TweetyBERT: Automated Parsing of Birdsong Through Self-Supervised Machine Learning
This repository contains the code and instructions to replicate the results and figures presented in the paper [TweetyBERT: Automated parsing of birdsong through self-supervised machine learning (bioRxiv preprint)](https://www.biorxiv... |
3f53c50bbc30fd344cf176c6c3350adbdcffb9f7647216e40acb235ddda7b50d | Text | 26,527 | 693 | # HG-GFNO Traffic Forecasting (PeMS) — Research Code
This repository contains the research implementation for the paper:
**“Integrated Spatio-Temporal Modeling with Hybrid Graph Convolutions and the Graph Fourier Neural Operator for Traffic Prediction”**
HG-GFNO (**H**ybrid **G**raph Convolutions + **G**raph **F**ou... |
9e7d8e5aa545d034dd65987f74b5d4c6053f0e419bbdd0f14401a22b0f5e09ff | Text | 26,788 | 782 | <p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="images/logo_white.png">
<source media="(prefers-color-scheme: light)" srcset="images/logo_black.png">
<img alt="nablaDFT logo" src="images/logo_black.png">
</picture>
</p>
# $\nabla^2$ DFT: A Universal Quantum Chemistry Dataset of ... |
0f1db058e1df2e6bda2db5d0ea851a7111d2390ec16a9939d971ef53ea24f684 | Text | 27,642 | 611 | wordfreq is a Python library for looking up the frequencies of words in many
languages, based on many sources of data.
The word frequencies are a snapshot of language usage through about 2021. I may
continue to make packaging updates, but the data is unlikely to be updated again.
The world where I had a reasonable way... |
c9bdf30760cf21eb1c7331aa2f3a77728c19a0fed840390fc3688975bc717359 | Text | 28,185 | 469 | ## What is EEG-Pype?
With our software, we hope to provide users with an accessible way to preprocess resting-state EEG files, while still including powerful analysis tools. We do this by combining several functions from the MNE (MEG/EEG preprocessing) open-source project *(Gramfort et al., Frontiers in Neuroscience, ... |
32a2873cd92ab20537d571500be8c3852c080ceee29e03d9a42c8e9b7ba43b18 | Text | 29,017 | 623 | # Spatial mapping of cell types by integration of transcriptomics data
⚠️ **NOTE: See the updated speedy version ⚡ `flash-scope` [here](https://github.com/almaan/flash-scope)**
This repository contains the Python package **stereoscope**, the implementation
of the method presented in the paper [_"Single-cell and spati... |
afb5b1b86ca2152e1442eed3ae809f26a5b92bb94401ea631bc55fd464c85d5d | Text | 30,083 | 612 | <picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-light.png" />
<source media="(prefers-color-scheme: light)" srcset="https://github.com/pytorch/pytorch/raw/main/docs/source/_static/img/pytorch-logo-dark.png" />
<img src... |
8a6e862af29bb0104f987cc0f9a338018a724e8326260123b9e54baa348d41be | Text | 37,340 | 455 | <div align="center">
<p>
<a align="center" href="https://ultralytics.com/yolov5" target="_blank">
<img width="850" src="https://raw.githubusercontent.com/ultralytics/assets/master/yolov5/v70/splash.png"></a>
</p>
English | [简体中文](.github/README_cn.md)
<br>
<div>
<a href="https://github.com/ultr... |
80068f4ae3df0ea7d8a76ba6f28969d9e32941e6df86f432c14109e2c2ec17df | Text | 45,340 | 793 | # cali
[](https://github.com/fdrgsp/cali/actions/workflows/ci.yml)
[](https://codecov.io/gh/fdrgsp/cali)
A GUI for Calcium Imaging Data Segmentation, Analysis and Visualizat... |
95b47706b875d7b24b6aa348fc4dd372cf30cdebaeaae7167288e08a2949d3be | Text | 48,263 | 587 | <p align="center">
<a href="https://github.com/tensorcircuit/tensorcircuit-ng">
<img width=90% src="docs/source/statics/logong.png">
</a>
</p>
<p align="center">
<!-- tests (GitHub actions) -->
<a href="https://github.com/tensorcircuit/tensorcircuit-ng/actions/workflows/ci.yml">
<img src="https://img.s... |
b8c692a389373c2c28a5d08f50ee6ec5b270d61cf1e7081183bb76b21541acd3 | Text | 112,117 | 241 | # subs2vec
[Van Paridon & Thompson (2019)](https://doi.org/10.31234/osf.io/fcrmy) introduces pretrained embeddings and precomputed word/bigram/trigram frequencies in 55 languages. The files can be downloaded from the links in __[this table](#downloading-datasets)__. Word vectors trained on subtitles are available, as w... |
9305425677b9c34959362602f4dc5ba71f16b3b201c8e4ba89d96ef119876682 | Text | 113,619 | 6,646 |
<!-- README.md is generated from README.Rmd. Please edit that file -->
# BioAge
This package measures biological aging using data from the National
Health and Nutrition Examination Survey (NHANES). The package uses
published biomarker algorithms to calculate three biological aging
measures: Klemera-Doubal Method (KD... |
614bce25b089c3f19b1e17a6346c74b858034040154c6621e7d35303004767cc | TypeScript | 133 | 7 | import type { NextConfig } from "next";
const nextConfig: NextConfig = {
/* config options here */
};
export default nextConfig;
|
85ae5aee75f011967cf2d25cbc342f62d69314e9d925f7f4aa3456fc2cffcca6 | TypeScript | 262 | 6 | /// <reference types="next" />
/// <reference types="next/image-types/global" />
/// <reference path="./.next/types/routes.d.ts" />
// NOTE: This file should not be edited
// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
|
bc2f685a83b192f6eeb4a650bb4805d84ec7cddf62098aa63ff9b752f3e9bf8a | TypeScript | 2,016 | 91 | // ============================================================================
// lib/types.ts - Complete Type Definitions
// ============================================================================
export type DataType = 'scrna' | 'scatac';
// ============================================
// DATA UPLOAD & INFO
/... |
7da4b4553f5fa25d90e63e75be4ca3bd94e0be5b915d265cebb989defceeaf39 | TypeScript | 5,105 | 204 | // ============================================================================
// lib/api.ts - Complete API Functions
// ============================================================================
import {
AgentParams,
TrainParams,
TrainingState,
DataInfo,
DataType,
TFIDFParams,
HVPParams,
Sub... |
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