A scalable method to infer fate specific gene regulatory network from single cell gene expression data
vignette("NetID")
conda create --name NetID 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
conda install -c conda-forge r-devtools
pip install geosketch
install.packages('NetID_0.1.0.tar.gz', repos=NULL, type='source')
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
devtools::install_github("learn-ensemble/R-SUMMA")
devtools::install_github("aet21/SCENT")