sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
642690fa8172f139145f2e9c4a70a4b40a3f814ce4af0269b1ded5e3693a2409 | MATLAB | 13,967 | 491 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
bd9730249383d1ff6d8dba05c320bb998a473db602e292190bd74ba27cc8ae42 | MATLAB | 13,972 | 301 | function [] = plot_ground_truth_multitracks_event_combined(folders,option,method)
total_number = 0;
for nfolder = 1:length(folders)
cd(folders{nfolder})
load decoded_replay_events
total_number = total_number + length(decoded_replay_events(1).replay_events); % For cell id shuffles, get
cd ..
end
inde... |
5f7297692145bcd270ccbaa8df0a0b91c7ec84cafdf21fc9d0cfdb1102e6d660 | MATLAB | 13,980 | 493 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
c736888f1bff3e10882e0282eda0e5eeab5da3f21d2aaafe0d01ab3d69396168 | MATLAB | 13,983 | 512 | function draw_figure5GH(p,encRes)
%
% This code is for drawing figure 5GH
%
%
%% settings
% prepare colors
clear col
col{1}=[10, 168, 247]/255; %
col{2}=[18, 94, 240]/255; %
col{3}=[235, 1, 22]/255; %
nSbj = length(p.sbjID);
for sbjitr = 1:nSbj
pgPath = sprintf('%s%s/pringrad/%s_pringrad_values.mat',p.fmridir,p.... |
b4cc6ecfb6efe10f7cce6079b8d4b08566184957a144eed6a5dd2896c9a7b73f | MATLAB | 13,995 | 259 | function shuffled_track = randomised_data_run_shuffles(shuffle_choice,analysis_type,dataset_type,num_shuffles,decoded_replay_events,place_fields_BAYESIAN,BAYSESIAN_NORMALIZED_ACROSS_TRACKS)
% computes shuffles on replay events
% shuffle_choice- determines what type of shuffles will be performed, entered as a string
%
%... |
0210f110a48fb45e7546664400f6ea88edfb52f3acd26d649014f61bde884f66 | MATLAB | 14,005 | 490 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
cbcc8aec620bded7163371a2886e69725d0d3f89d600edf5e48da4353de75749 | MATLAB | 14,010 | 426 | function [A, D, selectedChannels, I, B] = meg_runAnalysis(expt, sessionDir, user)
% function [A, D, selectedChannels, I, B] = meg_runAnalysis(exptName, sessionDir, [user])
%
% Loads behavioral data, loads MEG data, rejects trials, selects
% channels, slices MEG data by condition, does analysis (ERF, TF, ITPC,
% decodi... |
46fbcb6ba7e7d85f9360aca7ed8622042a1926de43f7f5d4b3de921e76505e23 | MATLAB | 14,012 | 412 | function avw_img_write(avw, fileprefix, IMGorient, machine, verbose)
% avw_img_write - write Analyze image files (*.img)
%
% avw_img_write(avw,fileprefix,[IMGorient],[machine],[verbose])
%
% avw.img - a 3D matrix of image data (double precision).
% avw.hdr - a struct with image data parameters. If
% ... |
cf5e58be6ed677cd279296aad1540f0f83ca44aa45daefaef6fba9c9acca4739 | MATLAB | 14,015 | 493 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
425e7497982454c6354fbcc1a4fbb516655c3c506ec64f5289654c87ae131714 | MATLAB | 14,023 | 495 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
1a4524460292f548e5960b0b47f8d0ca7f84514ff21691c2c1d99782655f6e8f | MATLAB | 14,024 | 339 | classdef ProcSortStats < handle
% This class is designed to support analyses revolving around the sorting
% statisitics. This includes:
% Reurning unit statistics from a set of converted data files (across days)
% and saving out the file using the subselect data.
%
% Ability to take ... |
f1a679452fc6cbdcd03af518e758914157038842331ba39db0c49d4aaae82582 | MATLAB | 14,057 | 332 | function CBIG_KRR_workflow_LITE( setup_file, save_setup, varargin )
% CBIG_KRR_workflow_LITE( setup_file, save_setup, varargin )
%
% This function runs the whole workflow of kernel ridge regression
% algorithm to predict some target variables. This is a lite version of
% `CBIG_KRR_workflow.m`. In this version, the ke... |
50afa067d77a1adb5081c031e2c0a48ddb0f91e8b71698ae51ec5d12328318bc | MATLAB | 14,074 | 500 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
4d36af294c09657470518f1e9f5da1551bfd4e7cb4173888cb20a7dce802e197 | MATLAB | 14,081 | 497 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
1da8c79f6763f522ca9fa18e8f3ecf68b632dbfe0b1849e60b7358ecee28b327 | MATLAB | 14,082 | 219 | function get_corr_tracks(folders,varargin)
p= inputParser;
addParameter(p,'epoch','first_second_half',@ischar);
addParameter(p,'method','pop_vector',@ischar);
parse(p,varargin{:});
parameters= list_of_parameters;
master_folder= pwd;
for this_folder= 1:length(folders)
cd([master_folder '\' folders{this_folder}]);... |
6af0417072b5306c3c96db6ad9da8356b015b3e60c4bc2037867c4af27b34a80 | MATLAB | 14,086 | 378 | function [neighbours, cfg] = ft_prepare_neighbours(cfg, data)
% FT_PREPARE_NEIGHBOURS finds the channel neighbours for spatial clustering or
% interpolation of bad channels. Using the 'distance' method, neighbours are based on
% a minimum neighbourhood distance (in cfg.neighbourdist). Using the 'triangulation'
% metho... |
f350c98bcdbaad4a76976b3370b2e900ab787e91b22540522933f2c33c9952cd | MATLAB | 14,088 | 518 | % [BOUNDX,BOUNDY] = LABEL_EDGES(RGBI)
%
% Input: RGBI is a RGB image we want to label edges in.
% This program allows the user to input any number of closed
% edges. Here is the interactive usage:
% label_edges commands:
% LEFT CLICK with the mouse to add a new point.
% RIGHT CLICK with the mouse to add a new point on... |
2b5d8e71cf850185a08b0da642c387299010418f048a3401de2ed33ec01514e1 | MATLAB | 14,089 | 342 | function [data, header] = ReadRhdFile(rhdFile, varargin)
dataType = 'amp';
% This reads "traditional format" Intan *.rhd files that contain an
% embedded header and multiple channels per file (NOT the
% single-channel-per-file format with its separate "rhdInfo" file). The
% file is opened for reading only. The loads ... |
8c73d53093781a7fb2eeb39926b35a910b72351a771f2d9651decb1a2b6fdb93 | MATLAB | 14,090 | 280 | function headVideo = loadStephensTrainingData16032016()
%
% Reformats all Stephen's digitization of head position in fly videos into
% one big struct called headVideo.
%
% fields of headVideo:
%
% headVideo(n).frames = frame numbers (starts at 1) of video where have
% clicked on head
%
%headVideo(n).kineDataFname = or... |
54216f60b8e3fad981adcd86f068f1a13bc60b0dbf6591228dff2db3b6ea540f | MATLAB | 14,091 | 496 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
5925f1a2b40d073b01da01c2e7aa88365f7d7b93e94a61c9e4295bc68fdfd77a | MATLAB | 14,092 | 462 | function [CMAP,LEV,WID,CLIM] = cmjoin(varargin)
%CMJOIN Joins colormaps at certain levels.
%
% SYNTAX:
% cmjoin(CMAPS)
% cmjoin(CMAPS,LEV)
% cmjoin(CMAPS,LEV,WID)
% cmjoin(CMAPS,LEV,WID,CLIM)
% ... |
f731af422e1c5baa6e91e5fb7317080c63ec8ac45fa236d34bb8728dce7333b3 | MATLAB | 14,092 | 412 | function out = spm_run_fmri_spec(job)
% Setting up the general linear model for fMRI time-series
% SPM job execution function
% takes a harvested job data structure and call SPM functions to perform
% computations on the data.
% Input:
% job - harvested job data structure (see matlabbatch help)
% Output:
% out - ... |
70a254cd354ab0a67781c50e7ec730cc598c42b21b138131a32d0d01f8335f27 | MATLAB | 14,099 | 257 | % MATLAB code provided by Seyed Mohammad Ali Rahmati
% Affiliation: Biomechanics and Motor Control Lab, Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA.
%
% Description:
% This script calculates and summarizes the mechanical properties of 9 muscle groups based on clustering results. It a... |
f0b54498722f835fc45fa3fc4baf573d7d11b2f0356572fb9454272e75786632 | MATLAB | 14,103 | 387 | function varargout = w_OverlayConfig(varargin)
% W_OVERLAYCONFIG M-file for w_OverlayConfig.fig
% W_OVERLAYCONFIG, by itself, creates a new W_OVERLAYCONFIG or raises the existing
% singleton*.
%
% H = W_OVERLAYCONFIG returns the handle to a new W_OVERLAYCONFIG or the handle to
% the existing singlet... |
d517c21eca5e36b8f0d0a595e59fc2fa7e95099d2a49d466ef9080f27b023511 | MATLAB | 14,112 | 363 | function [data,stats] = PhasePrecession(positions,spikes,phases,varargin)
%PhasePrecession - Compute spike phase precession.
%
% Compute spike phase precession using the methods of O'Keefe and Recce (1993),
% i.e. spike phase vs position, and Harris et al. (2002), i.e. spike phase vs
% spike rate. Single-lap phase pre... |
ddca7ab6500d9c50f7b7909715c4d05c4fc85482f99c8102f722e56d3b8d1b24 | MATLAB | 14,112 | 490 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
fcd97906f8688dc295b378425541473dbd2bcefd84bef5990b5a89c8eb528837 | MATLAB | 14,116 | 493 | clear
clc
% f = gcf;
% exportgraphics(f,'Fig1_Original.png','Resolution',600)
MotionData = load('MotionData.mat');
MusculoskeletalData = load('MusculoskeletalData.mat');
%% Motion Data
MotionData = MotionData.MotionData;
% Joint Angles
SHLa = MotionData.GenericCat.Angles.AngShou.Total*(pi/180);
ELBa = MotionData.Ge... |
f3aa22021d6477ee1ed7262c7c42919d44682162594c01e9ed0e1fadf57151f0 | MATLAB | 14,146 | 15 | function cm_data = coolwarm(m)
%cm = readtable('CoolWarmFloat257.csv');
%cm = cm{:, 2:end};
cm = [0.229805700000000,0.298717966000000,0.753683153000000;0.234299935000000,0.305559204000000,0.759874796000000;0.238810063000000,0.312388385000000,0.766005866000000;0.243336663000000,0.319205292000000,0.772075394000000;0.24... |
a8e8e92812ce860bce58c7925f4c59a6b6da4fba2e09d1b461de254c987ca316 | MATLAB | 14,148 | 518 | % [BOUNDX,BOUNDY] = LABEL_OPEN_EDGES(RGBI)
%
% Input: RGBI is a RGB image we want to label edges in.
% This program allows the user to input any number of open
% edges. Here is the interactive usage:
% label_open_edges commands:
% LEFT CLICK with the mouse to add a new point.
% RIGHT CLICK with the mouse to add a new ... |
26d7e2801b4993ea8262b2454119ff020eba1561dc535861001e6e6334db1dfd | MATLAB | 14,152 | 242 | %% Defining working directories and getting subjects' directories names
subjects_output_data_dir = 'F:\Scales_of_space_project\Preprocessed_data\'; % the directory where subjects' preprocessed data will be saved
% getting subjects' directories names
subject_names = dir(subjects_output_data_dir); subject_names = ... |
21d7c00d062e6d6e21350cc75ff05019d9c161df316f881d7a53dd92bcdf8900 | MATLAB | 14,153 | 490 | function [varargout] = ft_notification(varargin)
% FT_NOTIFICATION works mostly like the WARNING and ERROR commands in MATLAB and
% is called by FT_ERROR, FT_WARNING, FT_NOTICE, FT_INFO, FT_DEBUG. Note that you
% should not call this function directly.
%
% Some examples:
% ft_info on
% ft_info on msgId
% ft_info of... |
7a4be6baa4d7216e37b4e6894b4f040f117a1a1af34c79d225a6f4fe665c3f03 | MATLAB | 14,154 | 261 | function pout = HumanOdorRep_myBinomTest(s,n,p,Sided)
%function pout = HumanOdorRep_myBinomTest(s,n,p,Sided)
%
% Performs a binomial test of the number of successes given a total number
% of outcomes and a probability of success. Can be one or two-sided.
%
% Inputs:
% s- (Scalar or Array) The observe... |
98d9ec548a6a418dc9e979b23423c74d4af236051709ff9bec1919c9b8f06426 | MATLAB | 14,167 | 385 | function [P, Tx, Ty, Tz] = dTrilinears3d(T,x,y,z,hx,hy,hz,bc)
%function [P, Tx, Ty, Tz] = dTrilinears(T,x,y,z,hx,hy,hz,bc)
% Rena 02/20/2017: allows mass to enter/leave through boundaries so mass is
% not necessarily conserved.
% Use linear interpolation to evaluate (approximate) the values of T in the
% grid (x,y,z)
%... |
b2417c6217b9277e3419ff04d21d46464c1ceda6c58e64920a4fc673eff23fab | MATLAB | 14,176 | 361 | clearvars; close all force; clc;
addpath('C:\Users\Santiago\Ephys Mauthner\Code')
files = dir('C:\Users\Santiago\Ephys Mauthner\Data\**\*.abf');
SR = 25000; %in Hz
ROI = 0.012; %in secs
delayPostTectal = 0.0007; %in secs
tonicDepolarizationShift = 0.004;
tonicDepROIwidth = 0.001;
%For detecting tectal sti... |
6bb2d4ff32fd9ad3a3b5d578928de0c132488f92820f9115443eea62c0302022 | MATLAB | 14,179 | 401 | % Matlab script for creating ROI timeseries
%
% Download/clone to "bas_dir" below:
% 1. "AgeingHRF" from https://github.com/RikHenson/AgeingHRF/
%
% Link to local SPM12 directory, or install from
% https://www.fil.ion.ucl.ac.uk/spm/software/spm12/
%
% rik.henson@mrc-cbu.cam.ac.uk, Jan 2023
%% Finish... |
3cfab3d421944d4ef4062306281afc0739c3d15e783215f074b63e6207d193da | MATLAB | 14,182 | 487 | function [varargout] = ft_notification(varargin)
% FT_NOTIFICATION works mostly like the WARNING and ERROR commands in MATLAB and
% is called by FT_ERROR, FT_WARNING, FT_NOTICE, FT_INFO and FT_DEBUG. Please note
% that you should not call this function directly.
%
% Some examples:
% ft_info on
% ft_info on msgId
% ... |
6aad35dad767af2803ccbe0b2362c53d7b6dff8eafcf1da7f6a5a4730847028b | MATLAB | 14,187 | 473 | %% Overview
%
% Here we summarise the results of the HMM inference and compute the
% task-evoked GLM statistics
config = utils.get_studydetails;
% Define colours to use in state plots
set1_cols = utils.set1_cols;
% Define sample rate
sample_rate = 250;
%% Load in results from envelope data
% Meta data
method = 'em... |
4daab892d1f1cad99f65e774cdc93184816a255bd24428c49e17e9228ed4f137 | MATLAB | 14,189 | 369 | function varargout = TSbrowserbuttoneditor(varargin)
% TSBROWSERBUTTONEDITOR M-file for TSbrowserbuttoneditor.fig
% TSBROWSERBUTTONEDITOR, by itself, creates a new TSBROWSERBUTTONEDITOR or raises the existing
% singleton*.
%
% H = TSBROWSERBUTTONEDITOR returns the handle to a new TSBROWSERBUTTONEDIT... |
372061e102d6f5945bd237aee53fbfca31659fbe7d3747ac323745e8c19159d6 | MATLAB | 14,192 | 384 | function spikes = bz_GetSpikes(varargin)
% bz_getSpikes - Get spike timestamps.
% if loading from clu/res/fet/spk files - must be formatted as:
% baseName.clu.shankNum
%
% USAGE
%
% spikes = bz_getSpikes(varargin)
%
% INPUTS
%
% spikeGroups -vector subset of shank IDs to load (Default: all)
% ... |
f815662dcf542170830ae647a85a9ab249c9fefecf9efa2079e4125818c5494b | MATLAB | 14,202 | 304 | %% Main script for the MUA analysis
% abdo.sharaf@yale.edu
% xinyuan.zheng@yale.edu
%% paths
clear; close all;
datapath = '\Data for Figure 2\Behavioral_partial_MUA';
svpath_beh = 'F:\xinyuan\Mouse Project\MUA Results\Behavior';
svpath_ep = 'F:\xinyuan\Mouse Project\MUA Results\EP';
t = datestr(now,'dd-mmm-yyyy... |
ae0af9362e385f2e9fd1495441dc1e4fed72135d48337a11c58dd645285a31dd | MATLAB | 14,205 | 313 | function Step3_Beamforming(config, pid, visitnum)
% Step3_Beamforming carries out beamforming and source projection on
% cleaned data. Steps:
% 1. Template grid (sourcemodel) from FieldTrip is loaded in with preselected
% dipole grid resolution, in MNI position space
% 2. Participant model is cre... |
992530ceabb2a31c9e1da684c858b173fc512468675af08ad2a3520ce38d1cd8 | MATLAB | 14,209 | 481 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
function [idxs... |
170fc8f17808eef7e7cb9e8e5dea2f86144a22700aaf34aec8a140025cb64c43 | MATLAB | 14,225 | 374 | function CBIG_ComputeROIs2ROIsCorrelationMatrix(output_file, subj_text_list1, subj_text_list2, discard_frames_list, ROIs1, ROIs2, regression_mask1, regression_mask2, all_comb_bool, avg_sub_bool)
% CBIG_ComputeROIs2ROIsCorrelationMatrix(output_file, subj_text_list1, subj_text_list2, discard_frames_list, ROIs1, ROIs2, r... |
39bbe5f490e977ebb837d01fe7805a1766aaff580537989137c97ec2a9b2403a | MATLAB | 14,232 | 448 | function ncquiverref(x,y,u,v,units,reftype,refvec,veccol,cont)
% NCQUIVERREF: Vector plotting function for either map or Cartesian axes.
%
% function ncquiverref(x,y,u,v,units,reftype,refvec,veccol,cont)
%
% This function is a substitute for the standard version of quiver
% and quiverm available using a vanilla releas... |
a5c3c1d5b2e937bdef2579c339e1aeff5783c27834efc8a91e14d44c697dc28e | MATLAB | 14,265 | 362 | % This pre-processing pipeline is performed through the BrainVoyager 20.6
% scripting platform, along with NeuroElf v1.1.
%% Enabling brainvoyager scripting from path
bvqx = actxserver('BrainVoyager.BrainVoyagerScriptAccess.1');
%% Defining working directories and getting subjects' directories names
% Prep... |
d86e9e096bca0918c9e882872b73a69595a283e6e66b7898a9e1cb3f301931f4 | MATLAB | 14,269 | 343 | function [ANCOVA_F,Header,PairwiseDiff_Brain,Pairwise_p_Brain,Pairwise_Z_Brain] = y_ANCOVA1_Multcompare_Image(DependentDirs,OutputName,MaskFile,CovariateDirs,OtherCovariates, ctype)
% function [ANCOVA_F,Header,PairwiseDiff_Brain,Pairwise_p_Brain,Pairwise_Z_Brain] = y_ANCOVA1_Multcompare_Image(DependentDirs,OutputName,... |
d132d88dcdeba591086956797530fe64e0f3677cdf2ed9216dc52b2e51778c29 | MATLAB | 14,272 | 385 | % go_calib_stereo.m
%
% Script for Calibrating a stereo rig (two cameras, internal and external calibration):
%
% It is assumed that the two cameras (left and right) have been calibrated with the pattern at the same 3D locations, and the same points
% on the pattern (select the same grid points). Therefore, in particul... |
c0dbd680159d0d4c24e24f41b7d1f6f2c932c42866aaa81233d45c1c321674b2 | MATLAB | 14,276 | 381 | function [Aout, Bout] = h_executecalcRoi3(handles)
% Aout is regular ROI, Bout is annotationROI.
global h_img3
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
Aout = struct('roiNumber',[],'roi', [], 'bgroi', [], 'avg_bg', [], 'avg_intensity', [], 'roiVol', [], 'max_inten... |
b4066e498f08933304ca3c0540d2d8f2ebc11bb18375ad6ef93f077f0b1821bd | MATLAB | 14,294 | 391 | function ft_select_range(handle, eventdata, varargin)
% FT_SELECT_RANGE is a helper function that can be used as callback function
% in a figure. It allows the user to select a horizontal or a vertical
% range, or one or multiple boxes.
%
% The callback function (and it's arguments) specified in callback is called
% o... |
3add1618795d4bc4a63afe7b5cca72d8b0571f571b2cac7c7d235bf1414b6203 | MATLAB | 14,320 | 434 | function [predictedY,predictedYD,YD,stats] = predictPhenotype_kernels(Yin,Din,options,varargin)
%
% Kernel ridge regression estimation using a distance matrix using (stratified) LOO.
% Using this means that the HMM was run once, out of the cross-validation loop
%
% INPUT
% Yin (no. subjects by 1) vector of pheno... |
57156f38e4300d8fb29733c775c4f3db4a859c2a229e491d6a1e73c8ee4fd5d1 | MATLAB | 14,322 | 265 | % TSTRIALSTATMULT Computes multiple within-trial statistics. This is a
% version of TSTRIALSTAT modified 6/11/16 by CRG to output multiple
% statistics. It needs to be tested whether this version substitutes w/o
% problem for the tried and true long-standing version of TSTRIALSTAT
% ER = TSTRIALSTAT(STATNAME,FUNHAND... |
ccb00142c6b02bcdb008dca7a686ae5d35d0491d89015e123eb83405b62a15a4 | MATLAB | 14,346 | 289 | function [] = Twave_personalisation_POMs_ToRORd_not_converged(nb_models, celltype, stimAmp, stimulus_function_str, result_dir)
% Population of models generation for T-wave personalisation
% Adapted from scriptDemonstration_2_ParameterComparison.m:
% TODO: rename all endo_ variables to not say endo_
%% S... |
ad9189bbae928e4fa4529d875be7c904915e200f1a28326510b308606970613c | MATLAB | 14,347 | 394 | function saveas(this,filename,format)
% Save GIfTI object in external file format
% FORMAT saveas(this,filename,format)
% this - GIfTI object
% filename - name of file to be created [Default: 'untitled.vtk']
% format - optional argument to specify encoding format, among
% VTK (.vtk,.vtp), Collada (... |
6419033c219e333cab54b8ba88af5725dd4e778b69fc432987cf79fed3b3fd02 | MATLAB | 14,350 | 313 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef SpikeDataSet < DataSet
properties (GetAccess = public, SetAccess = private)
Duration;
ChannelIDs;
DataSetNames;
end
properties (GetAccess = private, SetAcc... |
826c64be0b3f597a9037b4df8b1a42505e7542f3fd99f26eca88ccee0b901bb1 | MATLAB | 14,372 | 432 | % demo of Bayesian optimization for "code breaking"
%{
Consider a hidden "code" (sequence of letters) of length L, c(1:L),
where each element of the code is an integer in {1,..,A}.
We are allowed to generating query strings of length L, x(1:L), from the
same alphabet. The oracle function is the hamming distance
f*(x... |
c086f454d15cc0244d2206c0dbce1ade64c49cf615e8a1c82cfb830f48b66313 | MATLAB | 14,372 | 325 | function NMJ_BoutonRegion_Selector_JuliaCopy(StackSaveName,BoutonSelectionDisplayImage, AllBoutonsRegion1,BorderLines)
OS=computer;
if strcmp(OS,'MACI64')
dc='/';
else
dc='\';
end
pwd;
currentFolder = pwd;
[upperPath, deepestFolder] = fileparts(currentFolder);
... |
0f5278b1807ad0bfd969939a6f0be7b528212e8807795d8b1829b2118fbaaf37 | MATLAB | 14,377 | 435 | function [dipout] = harmony(dip, grad, headmodel, dat, varargin)
% HARMONY computes a linear estimate of the current in a distributed source model
% using a mesh harmonic based low-pass filter.
%
% Use as
% [dipout] = minimumnormestimate(dip, grad, headmodel, dat, ...)
%
% Optional input arguments should come in key... |
5937ec9b4c139cfe86e6d5b0caa3d7d1f87408ae9018492faae6691f3553dffb | MATLAB | 14,377 | 345 | function [vols,volsizes,inplanematrixsizes,trs] = dicomloaddir(files,filenameformat,maxtoread,desiredinplanesize,phasemode,dformat)
% function [vols,volsizes,inplanematrixsizes,trs] = dicomloaddir(files,filenameformat,maxtoread,desiredinplanesize,phasemode,dformat)
%
% <files> is a pattern matching zero or more DICOM ... |
a046426ce977ea7c86116c3c0408ca0c01b80254ab649ee26aaf78973f925365 | MATLAB | 14,383 | 435 | function [dipout] = harmony(dip, grad, headmodel, dat, varargin)
% HARMONY computes a linear estimate of the current in a distributed source model
% using a mesh harmonic based low-pass filter.
%
% Use as
% [dipout] = minimumnormestimate(dip, grad, headmodel, dat, ...)
%
% Optional input arguments should come in key... |
326d601879b23dd6dd9e04638204fb001c4d584ff8e74230d4ec268d4e8855b7 | MATLAB | 14,394 | 439 | %%% ROI analysis for infant data. Load in ROI measurements for each infant,
%%% over different tissue labels. Note that the data contains 61 infant
%%% datasets but not all contain T1 and T2 mapping (so are empty) and it
%%% also contains 13 tissue labels, though we only consider 8 of these.
%%% 2024-10-08: Shaihan Mal... |
7bc88b187b6953a1377856e4f069b29ff259eba371cd7def35d05ee70e07d308 | MATLAB | 14,405 | 390 | % Address the basic question, when x is the salient category, what
% percentage of units are tuned to x.
function PlotPopulationAnalThroughTime(config,varargin)
if strcmp(mfilename,'') || nargin==0
opts=Analyze.Libet.Config_BasicLinearModel;
else
opts=feval(config,varargin{:});
end
%%
BaseDir=o... |
33396524e819964d826fc15d89f05ef53d5b4af3ed395e39e1ab82759129d53e | MATLAB | 14,423 | 356 | classdef Atlas < handle_light
% Collection of charts and the transition maps between them
% such that together the charts cover the entire manifold (surface).
%
% Charts and transition maps are CoordinateMap objects.
%---------------------------------------------------------------------
... |
35145921110b051943eb637cf7e5bda55dd6ebc7fbe3aa645c2f06820456d5e5 | MATLAB | 14,427 | 405 | function [h,p,ci,stats,t,slm] = tTestSurfStat(x,y,varargin)
% x,y -> two input vectors or matrices or tensors with the following structure (corresoponding to different groups: G.X and G.Y)
% lines -> observations (or each subject value)
% columns -> different quantities to compare x(:,c) vs. y(:,c)
% ... |
b6f1a5bc414ae5ce3836d5ba1f6fbabcaf6ea8ee104e35714c812966447bc8c4 | MATLAB | 14,429 | 381 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
classdef File... |
7b5a7debac4d90fc4995f579e865616e48c5a6ee6f2544ccd55cc4bc28431da0 | MATLAB | 14,430 | 378 | % calc_sig_struct
global dNames
% dNames = {'TinC', 'TinI', 'Ramp', 'PC1', 'WhatD', 'WhenD', 'MinC', 'MinI'};
for d = 1 : length(dNames)
dim = dNames{d};
disp(['Generating signals: ' dNames{d} '...'])
switch dim
case 'PC1'
nDat = 1;
case 'WhatD'
nDat... |
0b5109bc2ea3f4d3d79e90247af1ba569f98cf3c15b8d2c94dbc47791fb33c24 | MATLAB | 14,445 | 353 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
disp(['Making Figure: ',FigName])
figure('name',FigName)
set(g... |
bb89fa243a834db9da1d9acb1ec157bebec45df9730b7436adcfc5d99b229ca3 | MATLAB | 14,457 | 235 | function prams=CBIG_gwMRF_set_prams(varargin)
% This function sets the prams file, either from default values or from the input varargin
% some variables and their explenation and/or possible setting. If not other specified 1 means true and 0 means False.
%
%
% Input
%
% - start_index - ... |
57116db1a47692f67851ebf944b5d21266b60b2266c3c3344b85e8ea92eaa957 | MATLAB | 14,462 | 327 | function [epp, subset_ids]=run_epp(csv_file_or_data, varargin)
% RUN_EPP runs exhaustive projection pursuit to discover/learn
% significant subsets of a given data set.
%
% EPP is an unsupervised data subset discovery method intended for any
% N-dimensional dataset containing continuous numeric measurements. Se... |
ddfe665ec3075bfe477ce4c31c288439fdd9808ae8e6be636380f758a4513781 | MATLAB | 14,473 | 371 | %% Fisher Kernel: elife 2024 Main script
% Ahrends, Woolrich, & Vidaurre (2024). Predicting individual traits from
% models of brain dynamics accurately and reliably using the Fisher kernel.
% elife https://doi.org/10.7554/eLife.95125.
% This script goes through the steps to reproduce the main results of the
% paper. ... |
9020730aa413d6ac2860da1bcf2ad86333d2e1c162d04eca265ffcc2a71b0906 | MATLAB | 14,479 | 374 | % pop_loadset_lan() - load an EEG dataset. If no arguments, pop up an input window.
%
% Usage:
% >> EEGOUT = pop_loadset; % pop up window to input arguments
% >> EEGOUT = pop_loadset( 'key1', 'val1', 'key2', 'val2', ...);
% >> EEGOUT = pop_loadset( filename, filepath); % old calling format
%
% Optional inputs:
% ... |
9b8446cd4248245bbd2fd018e77769b1a22128b99c7b8ecac2ef02aa16d443e4 | MATLAB | 14,482 | 380 | function [ClusterSize_OneTailed_NN6 ClusterSize_OneTailed_NN18 ClusterSize_OneTailed_NN26 ClusterSize_TwoTailed_NN6 ClusterSize_TwoTailed_NN18 ClusterSize_TwoTailed_NN26] = y_AlphaSim(maskfile,outdir,outname,pthr,iter,algor,fwhm_or_acf)
% y_AlphaSim(maskfile,outdir,outname,rmm,s,pthr,iter)
% Monte Carlo simulatio... |
b7c5151d112f8d00f6a7276fb16ab5b93f321e79b6fe1b306b676d6badc89c8a | MATLAB | 14,490 | 383 | function [FailedID WaitingID SuccessID]=y_ReRunqsireconFailedSubjects(Cfg,WorkingDir,SubjectID)
% FORMAT [FailedID WaitingID SuccessID]=y_ReRunqsireconFailedSubjects(Cfg,WorkingDir,SubjectID)
% Cfg - the parameters for auto data processing.
% WorkingDir - Define the working directory to replace the one defined ... |
3ba8e6f91e900d0258700321fe763f6976d0bb04f9d2cf10604be920d2a99308 | MATLAB | 14,507 | 355 | function data = append_common(cfg, varargin)
% APPEND_COMMON is used for concatenating raw, timelock or freq data
%
% The general bookkeeping and the correct specification of the cfg
% should be taken care of by the calling function.
%
% See FT_APPENDDATA, FT_APPENDTIMELOCK, FT_APPENDFREQ
% Copyright (C) 2017, Robert... |
9a85de1cd0d759c46489df87be71865ab292d21ee565f70c4e75a8f45b1e813d | MATLAB | 14,515 | 307 | %% Cross-validation of replay detection performance by using combining both sequenceness and seuqenceless decoding
% Sequenceness analysis
clear all
% workingDir = 'P:\ground_truth_replay_analysis\Dropbo_data8_normalised_within';
workingDir = 'P:\ground_truth_replay_analysis\Dropbo_data8';
% cd P:\ground_truth_repla... |
2b75b32a785ae44fb4d5fe392d1bec9825eea89836ba88a9dd49ee35c3162a0b | MATLAB | 14,525 | 354 | function [dipout] = dipole_fit(dip, sens, headmodel, dat, varargin)
% DIPOLE_FIT performs an equivalent current dipole fit with a single
% or a small number of dipoles to explain an EEG or MEG scalp topography.
%
% Use as
% [dipout] = dipole_fit(dip, sens, headmodel, dat, ...)
%
% Additional input arguments should b... |
e4922cf50ba2e0140b17345e45446766a921a29211d490d2fb30f8ff7c29e382 | MATLAB | 14,530 | 456 | classdef MFTable
% Movie/Frame/(Target) tables
%
% An MFTable is a table with cols 'mov' and 'frm' indicating movies and
% frame numbers.
properties (Constant)
% Uniquely IDs a frame/target
FLDSID = {'mov' 'frm' 'iTgt'};
% Core training/test data.
FLDSCORE = {'mov' 'frm' 'iTgt' 'tfocc' 'p'};
... |
e1c27ac591752d02ef8183beb37bd8eccad8f68f49c9bc62eff7b65ed14006e9 | MATLAB | 14,544 | 362 | function [embedding, chart] = generateEmbedding(this, chartName)
% generate embedding for spherelikeFitter using parameterization of
% surface.
%
% [embedding, chart] = generateEmbedding(chartName);
%
% We fit sperelike surfaces in a cylindrical basis as described in the
% supporting inform... |
cd4f7b60f0da24d4e62b59e010cc37be2556679e5baf52f4ea1c3f0156a9657d | MATLAB | 14,545 | 331 | function [DistanceQ, MovementQ, TrialCounts, FitError] = ...
HeadMotionStats(Datasets, MotionThreshold, SampleProportion, ...
FitErrorThreshold, Verbose)
% Calculate head motion statistics for a CTF MEG dataset.
%
% [Distance, Movement, TrialCounts, FitError] = ...
% HeadMotionStats(Datasets, Motion... |
48ab9f22c9c7f608b438268e22dc8bdf67c23058706c3df59fce1145a50a8681 | MATLAB | 14,559 | 474 | classdef FSPath
% Filesystem path utilities
%
% STANDARDIZED paths use the separator '/' and eliminate
% double-separators etc. Standardized paths are supposed to look the same
% across platforms, modulo differing filesystem mount names etc.
%
% MACROS look like $datadir and can be replaced/substituted.
methods... |
9b3d6f0d04f76f11752509a57208b960c9d3f405e5dada86f0234e561e700fd6 | MATLAB | 14,569 | 354 | classdef VBoxFlex_dspace < uix.VBox & uix.mixin.Flex
%uix.VBoxFlex Flexible vertical box
%
% b = uix.VBoxFlex(p1,v1,p2,v2,...) constructs a flexible vertical box
% and sets parameter p1 to value v1, etc.
%
% A vertical box lays out contents from top to bottom. Users can
% resize... |
9c331eee20d8ebb1f267e59abf887d21f982d54b75961c9ac7bec2d2c23df956 | MATLAB | 14,572 | 406 | function varargout = DPABISurf_Vol2Surf(varargin)
%DPABISurf_Vol2Surf MATLAB code file for DPABISurf_Vol2Surf.fig
% DPABISurf_Vol2Surf, by itself, creates a new DPABISurf_Vol2Surf or raises the existing
% singleton*.
%
% H = DPABISurf_Vol2Surf returns the handle to a new DPABISurf_Vol2Surf or the handle ... |
b91433dc03d9e451f3f9384c005840ba7a095a1806ea5c3f4e7487d7e2868053 | MATLAB | 14,577 | 383 | function [timelock] = ft_timelockanalysis(cfg, data)
% FT_TIMELOCKANALYSIS computes the timelocked average ERP/ERF and
% computes the covariance matrix
%
% Use as
% [timelock] = ft_timelockanalysis(cfg, data)
%
% The data should be organised in a structure as obtained from the
% FT_PREPROCESSING function. The config... |
0257b2db06a26acf600a9562451b6cf28e324fe3b29c32d870397ef048ce5499 | MATLAB | 14,599 | 458 | function [Xc3,tri3,xc3,xp3,dc3,xc_texture,nc3,conf_nc3,Nn3] = Meshing(Xc2,xc2,xp2,Thresh_connect,N_smoothing,om,T,N_x,N_y,fc,cc,kc,alpha_c,fp,cp,kp,alpha_p),
% scaled connection threshold
T_connect = Thresh_connect; % scaled threshold
fprintf(1,'Organizing the data...\n');
xp_frac = rem(xp2,1);
xc_frac = rem(xc2(1... |
505dd53ba776414f3d12711339bd669d541756cdc92299d260695d90cb197e45 | MATLAB | 14,603 | 348 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
16791e6fd17dc8b64bd1b794925edd4ede6251250373cd78d302399de5f8be75 | MATLAB | 14,626 | 302 | classdef CBIG_LiGSR_unit_test < matlab.unittest.TestCase
%
% Target project:
% Li2019_GSR
%
% Case design:
% Li2019_GSR already has unit tests, here we call its
% "intelligence_score" unit test and automatically make
% judgement on whether the unit test is... |
5b7209d47f5d965894291a8b5adca4d11b672a587a560bbc1638043e840f8193 | MATLAB | 14,630 | 399 | function [cfg] = ft_neighbourplot(cfg, data)
% FT_NEIGHBOURPLOT visualizes neighbouring channels in a particular channel
% configuration. The positions of the channel are specified in a
% gradiometer or electrode configuration or from a layout.
%
% Use as
% ft_neighbourplot(cfg)
% or as
% ft_neighbourplot(cfg, dat... |
9e93261f26e7b0e5f2a2f0ea60d264fff52e612b188eeb086eb83869b558860d | MATLAB | 14,633 | 355 | classdef HBoxFlex_dspace < uix.HBox & uix.mixin.Flex
%uix.HBoxFlex Flexible horizontal box
%
% b = uix.HBoxFlex(p1,v1,p2,v2,...) constructs a flexible horizontal
% box and sets parameter p1 to value v1, etc.
%
% A horizontal box lays out contents from left to right. Users can
% ... |
f116d36282792389d102e310b3195e6aca9b5360792a6161d3418d79387ecc3c | MATLAB | 14,638 | 368 | % This pre-processing pipeline is performed through the BrainVoyager 20.6
% scripting platform, along with NeuroElf v1.1.
%% Enabling brainvoyager scripting from path
% bvqx = actxserver('BrainVoyagerQX.BrainVoyagerQXScriptAccess.1'); % old brainvoyager command (before BV20.4)
bvqx = actxserver('BrainVoyage... |
83209ca794fd1c6c34df7e4cf88c56987ee282d93fe86cdecbfb13075b70df51 | MATLAB | 14,645 | 265 | function y_T1ImgAverager(AutoDataProcessParameter)
% FORMAT y_T1ImgAverager(AutoDataProcessParameter)
% Input:
% AutoDataProcessParameter - the parameters for auto data processing
% AutoDataProcessParameter.DataProcessDir='/home/data/YCG_AllData/YAN_Work/Monkey/Analysis/Cebus/CP1F/T1CoregAverage';
% AutoDa... |
08cf68b8ec6d7ebd9da0d27b2c9aeae7445438b241614e57ecaa433a636e13e2 | MATLAB | 14,649 | 331 | % Somatotopy figure
addpath("HelperFunctions")
load(fullfile(DataPath, 'RFData.mat'))
load(fullfile(DataPath, 'Discriminability.mat'))
load(fullfile(DataPath, 'SurveyMainData_Processed.mat'))
load(fullfile(DataPath, 'RFMappingData_Processed.mat'))
export_path = fullfile(DataPath, 'Figure3_Somatotopy');
SetFont('Arial'... |
ec46a288aac202e74d956999c77f7fa1c54590f87bc7e802b25da306ccfc200c | MATLAB | 14,665 | 384 | %% P(x,t) Data Structure
% Data Class for holding measured probability data (pX(t)). Designed for
% use within the SDO Analysis Toolkit.
%
% 1) pxtDataCells may be derived from xtdc + ppdc
% 2) pxtDataCells may be derived from predictions from sdoMat
%_______________________________________
% Copyright (C) 2023 Trevo... |
2f7f6938955d92d613206fbc50c7a762bf61d910ddf9b01b7c1e6d8db96052b9 | MATLAB | 14,668 | 410 | function [mdlFit A3 A4] = meg_singleTrial_crossValidation(expt, sessionDir, user)
% function meg_singleTrial_crossValidation(expt, sessionDir, user)
% split half cross validation per subject
% Inputs:
% expt: 'TANoise'
% sessionDir: eg: 'R0817_20171212', 'test' will create simulated data
% user = 'karen' 'scc' ... |
d777c71ba92ce55207bff1095a93f8cb5e2db7d91de603b3ebcf2334fc6ca3fa | MATLAB | 14,669 | 383 | function [mdlparams, xerr, errall] = fitSubGridSubSurrModelNakaRushton(mdlparams, stiminfo, stimorder, yy, opts)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
if nargin < 5
batchsize = 1000;
eta = 0.01... |
dc8ace085d07eea3fc9a7f4b3404a69f4dee7bbfadef09420e5005e31f1c186e | MATLAB | 14,671 | 357 | function CBIG_MFMem_rfMRI_plot_corr_of_VonEconomo(save_dir_input)
%--------------------------------------------------------------------------
% CBIG_MFMem_rfMRI_plot_corr_of_VonEconomo()
%
% show the correlation of estimated W and I in Desikan68 parcellation with
% the Von Economo data.
% W and I are averaged across ... |
9757ae7ca2a5aa058ada573a251fffdbd3bf1e27ff8b2baa65394927fda06452 | MATLAB | 14,689 | 344 | function [hPatch,api] = imRectRot( varargin )
% Create a draggable, resizable, rotatable rectangle or ellipse.
%
% The 'ellipse' param determines if the displayed object is a rectangle or
% ellipse. The object is identical in both cases, only the display changes.
% The created object may be queried or controlled progra... |
c0915034858626694b4d9a88ea2c380447c6b57c153a054a146d96987d293f46 | MATLAB | 14,701 | 366 | function varargout = h_qCamAnalysisGUI3(varargin)
% H_QCAMANALYSISGUI3 M-file for h_qCamAnalysisGUI3.fig
% H_QCAMANALYSISGUI3, by itself, creates a new H_QCAMANALYSISGUI3 or raises the existing
% singleton*.
%
% H = H_QCAMANALYSISGUI3 returns the handle to a new H_QCAMANALYSISGUI3 or the handle to
% ... |
c1599689f2a33266d4cb5f150b3df306cc02dc900342c326fbe7972b56b03dc5 | MATLAB | 14,701 | 515 | function RGB = cmapping(varargin)
%CMAPPING Colormap linear mapping/interpolation.
%
% SYNTAX:
% cmapping
% cmapping(U)
% cmapping(U,CMAP)
% cmapping(U,CMAP,...,CNAN)
% cmapping(U,CMAP,...,TYPE)
% cmapping(U,CMAP,...,MODE)
% cmapping(U,CMAP,...,M... |
1494eb8eb561a36baed65ce4664e1c3e90cdc9e838bf10a22951e5821fb4608e | MATLAB | 14,702 | 420 | function [ripples] = bz_FindRipples(varargin)
%FindRipples - Find hippocampal ripples (100~200Hz oscillations).
%
% USAGE
% [ripples] = bz_FindRipples(lfp.data,lfp.timestamps,<options>)
% OR
% [ripples] = bz_FindRipples(basepath,channel,<options>)
%
% Ripples are detected using the normalized squared signal... |
4c90eb11d0b154123d5c1e69bddc0a96316041b055dc70e9bd55f1eb90a7d02b | MATLAB | 14,718 | 355 | function [data] = ft_rejectvisual(cfg, data)
% FT_REJECTVISUAL shows the preprocessed data in all channels and/or trials to
% allow the user to make a visual selection of the data that should be
% rejected. The data can be displayed in a "summary" mode, in which case
% the variance (or another metric) in each channel ... |
3cbeac59f0cd2c459c26b102549955baa2fa4e2c8ba4518d5783c7835ac042eb | MATLAB | 14,725 | 386 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
classdef Clus... |
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