View Code? Open in Web Editor NEW

A scalable method to infer fate specific gene regulatory network from single cell gene expression data

License: Other

R 57.47% Python 34.28% Jupyter Notebook 8.25%

netid_package's Introduction

NetID_package

A scalable method to infer fate specific gene regulatory network from single cell gene expression data

Tutorial

Tutorial of NetID

Installation

Basic installation

Create conda environment (recommand but not necessary)

conda create --name NetID -c conda-forge -c bioconda r-seurat=4* python=3.10 r-essentials r-base=4.2.0
conda activate NetID # if it encounter the error, run 'source activate' ahead of this code

Install devtools and geosketch

conda install -c conda-forge r-devtools
pip install geosketch

install NetID (switch to the R terminal)

devtools::install_github("WWXKenmo/NetID_package")

Advance installation

install cellrank and palantir to realize lineage-specific GRN prediction

To speed up installation, user could use conda install mamba at first, then use mamba to install other modules

conda install mamba -c conda-forge
mamba install -c bioconda -c conda-forge cellrank-krylov
## or could use conda to install
## conda install -c bioconda -c conda-forge cellrank-krylov
pip install numpy==1.23.5 palantir