Highlights
- Pro
Stars
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Companion repository for our study on loss of Y chromosome (LOY) in lung cancer
Cell-type Specific Gene Networks and Drivers in Rheumatoid Arthritis
Interactome based Individual Specific Networks
Cell cluster Analysis with Variational Autoencoder using Conditional Hierarchy Of latent representioN
kuijjerlab / lionessR
Forked from mararie/lionessRSingle sample network reconstruction in R
Generate Robust Disease-Specific Response Signatures from the LINCS-L1000 Data
Smooth-quantile Normalization Adaptation for Inference of co-expression Links
Single Cell Oriented Reconstruction of PANDA-based Individually Optimized Networks
An R library of utilities for performing analyses on TCGA and GTEx data using the Network Zoo
PhysiBoSS / PhysiBoSS
Forked from MathCancer/PhysiCellPhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks
Node2vec2rank is an algorithm that can compare graphs to find their differences, e.g., in a case-control study that utilises gene regulatory networks.
Transcriptional Inference using Gene Expression and Regulatory data
Workflow to download and prepare TCGA data
DASH (Domain Aware Sparsity Heuristic) is a neural network pruning strategy that leverages domain-knowledge to obtain *meaningfully sparse* models.
pyEnGNet: optimized reconstruction of gene co-expression networks using multi-GPU
Source code for the paper "Fast and Accurate Inference of Gene Regulatory Networks through Robust Precision Matrix Estimation", by Passemiers et al.
netZooR is a network biology package implemented in R.
PHOENIX: a tool to infer biologically informed NeuralODEs describing genome-wide regulatory dynamics
A list of manuscripts/tools using diffusion on biological enttieis
Experiments for the paper "Higher-order correction of persistent batch effects in correlation networks".
Adds Google Analytics to Jupyter and JupyterHub