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:

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

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-0.1.5.tar.gz (5.3 MB view details)

Uploaded Source

Built Distribution

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

gshapa-0.1.5-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file gshapa-0.1.5.tar.gz.

File metadata

  • Download URL: gshapa-0.1.5.tar.gz
  • Upload date:
  • Size: 5.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.8

File hashes

Hashes for gshapa-0.1.5.tar.gz
Algorithm Hash digest
SHA256 b3011a6e78ecdf50aecb7e2daec9311b72350c98a0436a87f9b9c2700ee712a7
MD5 37323b8ec47e8647fed7286e5188dc13
BLAKE2b-256 6cc8238b356aa2dbcf8aae1e0b38b8164fca09fe9c8ec3731f415a4b24e05d3d

See more details on using hashes here.

File details

Details for the file gshapa-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: gshapa-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.8

File hashes

Hashes for gshapa-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 6537cd7d4fd4cae65a014048fcf266b672f20f85ad8cab6fdb9c92548c5f6665
MD5 143c58d947886699a8f9cf1fde55a56d
BLAKE2b-256 e70430214d4ca12e400d39a878e4d769920d91fad1d76deba0a489c0ab314c95

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