The python package for the scanet platform.
Project description
SCANet: A workflow for single-cell co-expression based analysis
SCANet
, a new python package that incorporates the inference of gene co-expression networks from single-cell gene expression data and a complete analysis of the identified modules through trait and cell type associations, hub genes detection, deciphering of co-regulatory signals in co-expression, and drug-gene interactions identification. This will likely accelerate network analysis pipelines and advance systems biology research.
Installation
To install SCANet
.
pip install scanet
Finally, it should be possible to import drugstone to your python script.
import scanet
You can use
import scanet as sn
SCANet
officially supports Python 3.6+.
Usage
A full detailed example of SCANet
: Refer to this Jupyter Notebook.
In this Jupyter Notebook, we explored all aspects of gene coexpression networks (GCNs) using SCANet
through a full analysis of the 3k PBMCs from 10x Genomics.
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