Factual package intelligence from PyPI

MICTI 0.2.0 package intelligence

Feature extraction approach in single-cell gene expression profiling for cell-type marker identification.

pip install micti

Current version
0.2.0
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
21.1 KiB
Release history
16 releases with files
Median release cadence
3 days

MICTI dependencies

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

  1. numpy
  2. pandas
  3. scipy
  4. scikit-learn
  5. matplotlib
  6. gensim
  7. gprofiler
  8. seaborn
  9. pyensembl
  10. bs4
  11. requests
  12. html5lib
  13. umap-learn

Compatibility and release files

MICTI publishes 1 wheel and 0 source archives for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 16 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .