Skip to main content

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:

grenadine.readthedocs.io

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gshapa-0.1.1.tar.gz (4.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gshapa-0.1.1-py3-none-any.whl (16.7 kB view details)

Uploaded Python 3

File details

Details for the file gshapa-0.1.1.tar.gz.

File metadata

  • Download URL: gshapa-0.1.1.tar.gz
  • Upload date:
  • Size: 4.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.8

File hashes

Hashes for gshapa-0.1.1.tar.gz
Algorithm Hash digest
SHA256 60da1bb848b6dc9b22c721e60b01e745721345ede378c5f5b9fcf513311a066d
MD5 c2375f1cca5eada208fc40179bf87df4
BLAKE2b-256 c506a5fa9dce3801f5789a7950ca4fd0e214daccd63b3fafb6251b72b76c7f2e

See more details on using hashes here.

File details

Details for the file gshapa-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: gshapa-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 16.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.8

File hashes

Hashes for gshapa-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6f3bccbb3d26bb25e8badc0ce4ad827e0f3f0a91b8421efd534bd4a9ccd8fdf3
MD5 b7b617b951f52916c35d3bc0bed60013
BLAKE2b-256 0a4f1e5f61c884f6f14fd25cfbeeae2af5c53b0578a95fb94c1c3930f404f93c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page