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Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Valuese

Project description

GSHAPA: Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Values

This Python package Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Values

Installation:

pip install gshapa

Documentation:

gshapa.readthedocs.io

GitLab repository

gitlab repository and tutorials

Tutorials:

Check the jupyter notebook tutorials located in the tutorial folder

  • simulator.ipynb for the assessment of the method on synthetic data
  • MS-dataset-RF-1percent.ipynb, DN-RF-1percent.ipynb, DII-RF-1percent.ipynb, COVID-RF-1percent.ipynb and AD-RF-1percent.ipynb for different bio-medical applications

Authors:

For bug reports and feedback do not hesitate to contact the authors

  • Sergio Peignier: sergio.peignier AT insa-lyon.fr
  • Sara Khademioureh: khademio AT ualberta.ca

Maintainer:

  • Sergio Peignier: sergio.peignier AT insa-lyon.fr

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