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:
GitLab repository
gitlab repository and tutorials
Tutorials:
Check the jupyter notebook tutorials located in the tutorial folder
simulator.ipynbfor the assessment of the method on synthetic dataMS-dataset-RF-1percent.ipynb,DN-RF-1percent.ipynb,DII-RF-1percent.ipynb,COVID-RF-1percent.ipynbandAD-RF-1percent.ipynbfor 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
1 maintainer
Metadata
1 maintainer
Release files for gshapa 0.1.10
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| gshapa-0.1.10.tar.gz | 5.3 MB | Without provenance | Details for gshapa-0.1.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| gshapa-0.1.10-py3-none-any.whl | Python 3 | none | any | Details for gshapa-0.1.10-py3-none-any.whl |
Total release size: 5.4 MB
Release files / gshapa-0.1.10.tar.gz
| Download URL | gshapa-0.1.10.tar.gz |
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| Size | 5.3 MB |
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Release files / gshapa-0.1.10-py3-none-any.whl
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| Size | 17.3 kB |
| Tags | Python 3 |
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