Factual package intelligence from PyPI

gene-outlier-detection 1.0 package intelligence

A Bayesian model for identifying gene expression outliers for individual single samples (N-of-1) when compared to a cohort of background datasets.

pip install gene-outlier-detection

Current version
1.0
Python requirement
>=3.6,<4.0
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
31.9 KiB
Release history
21 releases with files
Median release cadence
4 days

gene-outlier-detection dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click >=7.0,<8.0
  2. matplotlib >=3.0,<4.0
  3. numpy >=1.16,<2.0
  4. pandas >=0.24.1,<0.25.0
  5. scipy >=1.2,<2.0
  6. seaborn >=0.9.0,<0.10.0
  7. sklearn >=0.0.0,<0.0.1
  8. tqdm >=4.31,<5.0
  9. pymc3 >=3.8,<4.0
  10. tables >=3.5,<4.0
  11. theano >=1.0.4,<2.0.0
  12. arviz >=0.4.0,<0.5.0
  13. black >=19.10b0,<20.0

Compatibility and release files

gene-outlier-detection publishes 1 wheel and 1 source archive for version 1.0. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 21 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.