Metadata-Version: 2.1
Name: PRISM_GRN
Version: 1.0.0
Summary: A Probabilistic Model for Recover GRNs with Multi-Omics Data https://github.com/Ying-Lab/PRISM
Home-page: https://github.com/Ying-Lab/PRISM/
Author: Wenhao Zhang
Author-email: zscotty@stu.xmu.edu.cn
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8.0
Description-Content-Type: text/markdown


# PRISM
A Probabilistic Bayesian Model to Recover Gene Regulatory Networks by Incorporating a Biologically Interpretable Structure and Effectively Utilizing Multi-Omics Data
Installation
-----

```bash
git clone https://github.com/Ying-Lab/PRISM
cd PRISM
pip install -r requirements.txt 
python setup.py install

```

Example
-----
```bash
import scibd as si
import scanpy as sc
dataset = sc.read_h5ad(./data/Forebrain.h5ad)
KNNITER = si.KNNIter(dataset,strategy = 'PCoA')
result = KNNITER.IterCall()

```


Citation
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