A Probabilistic Model for Recover GRNs with Multi-Omics Data https://github.com/Ying-Lab/PRISM
Project description
PRISM
A Probabilistic Bayesian Model to Recover Gene Regulatory Networks by Incorporating a Biologically Interpretable Structure and Effectively Utilizing Multi-Omics Data Installation
git clone https://github.com/Ying-Lab/PRISM
cd PRISM
pip install -r requirements.txt
python setup.py install
Example
import scibd as si
import scanpy as sc
dataset = sc.read_h5ad(./data/Forebrain.h5ad)
KNNITER = si.KNNIter(dataset,strategy = 'PCoA')
result = KNNITER.IterCall()
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