Factual package intelligence from PyPI

pyCellPhenoX 1.5.1 package intelligence

An eXplainable Cell-specific machine learning method to predict clinical Phenotypes using single-cell multi-omics

pip install pycellphenox

Current version
1.5.1
Python requirement
<4.0,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
113.9 KiB
Release history
15 releases with files
Median release cadence
0 days

pyCellPhenoX dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas <3.0.0,>=2.2.3
  2. numpy <2.0,>=1.26
  3. xgboost <3.0.0,>=2.1.1
  4. numba >=0.54
  5. scikit-learn <2.0.0,>=1.5.2
  6. matplotlib <4.0.0,>=3.9.2
  7. statsmodels <0.15.0,>=0.14.3
  8. fasttreeshap <0.2.0,>=0.1.5
  9. shap <0.46,>=0.45
  10. met-brewer <2.0.0,>=1.0.2

Compatibility and release files

pyCellPhenoX publishes 1 wheel and 1 source archive for version 1.5.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Release activity and sources

PyPI lists 15 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .