gene-regulatory-network
There are 63 repositories under gene-regulatory-network topic.
aertslab/pySCENIC
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
pinellolab/dictys
Context specific and dynamic gene regulatory network reconstruction and analysis
netZoo/netZooR
netZooR is a network biology package implemented in R.
netZoo/netZooPy
netZooPy is a network biology package implemented in Python.
aertslab/SCope
Fast visualization tool for large-scale and high dimensional single-cell data
SUwonglab/PECA
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
netZoo/netbooks
Netbooks is a JupyterHub catalog of use cases in gene regulatory network inference using netZoo methods..
cailab-tamu/scTenifoldKnk
R/MATLAB package to perform virtual knockout experiments on single-cell gene regulatory networks.
netZoo/netZooC
netZooC is a network biology package implemented in C.
netZoo/netZooM
netZooM is a network biology package implemented in MATLAB.
rvinas/adversarial-gene-expression
Adversarial generation of gene expression data using Generative Adversarial Networks
dpeerlab/scKINETICS
Code for scKINETICS (ISMB 2023)
lingfeiwang/normalisr
Causal inference, differential expression, and co-expression for scRNA-seq
SUwonglab/rss-net
Regression with Summary Statistics exploiting Network Topology.
EngreitzLab/gene_network_evaluation
Evaluation framework for computationally inferred gene networks from single-cell data.
Genome3d/psychiatric_and_cognitive_multimorbidities
Analysis of regulatory impacts of GWAS SNPs associated with psychiatric disorders and cognitive functioning.
JChander/DeepRIG
A deep model infers gene regulation networks from scRNA-seq data.
xichensf/magical
R and MATLAB scripts for MAGICAL
clreda/NORDic
Network-Oriented Repurposing of Drugs Python Package
shuzwang/P2_cochlea
It contains the functional code to analyze P2 scRNA-seq and scATAC-seq data.
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
WWXkenmo/NetID_package
A scalable method to infer fate specific gene regulatory network from single cell gene expression data
durenzn/PECA
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
mgschiavon/bioPIDcontrol
Code used for simulations & analysis in Chevalier, Gómez-Schiavon et al. (2019; Cell Systems)
MihirBafna/clarify
Multi-level Graph Autoencoder (GAE) to clarify cell cell interactions and gene regulatory network inference from spatially resolved transcriptomics
QuackenbushLab/grand
GRAND database of gene regulatory networks.
evanamartin/baycn
A Metropolis-Hastings algorithm for inferring edge probabilities in a Bayesian network
Genome3d/alcohol-dependence
Analysis of tissue-specific regulatory impacts of alcohol dependence-associated SNPs.
JBris/nextflow-graph-machine-learning
A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.
natmurad/WGCNA
This repository contains a Script for WGCNA based on the Tutorial of WGCNA page
arendma/GRN_web
This repository contains the source code for the R Shiny server application allowing to query the gene regulatory network presented in https://www.nature.com/articles/s41467-023-38183-4
DabinJeong/GRN_construction_with_kernelCCA
Condition-Specific Gene Regulatory Network construction
daisybio/DysRegNet_package
Inferring patient-specific regulatory alterations
HilarieSit/hmdbn
Re-implementation of Hidden Markov induced Dynamic Bayesian Network for inferring Gene Regulatory Networks from Drosophila time-series microarray data
lcrawlab/multio-viz
A platform for the interactive assessment of gene regulatory networks
NctuICLab/GREMA
GREMA: Modelling of emulated gene regulatory networks with confidence levels based on evolutionary intelligence to cope with the underdetermined problem