Factual package intelligence from PyPI

cellvgae 0.0.1b4 package intelligence

CellVGAE uses the connectivity between cells (such as k-nearest neighbour graphs) with gene expression values as node features to learn high-quality cell representations in a lower-dimensional space

pip install cellvgae

Current version
0.0.1b4
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
97.5 MiB
Release history
5 releases with files
Median release cadence
11 days

cellvgae dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.6.0
  2. umap-learn >=0.5.1
  3. hdbscan >=0.8.27
  4. seaborn >=0.11.1
  5. matplotlib >=3.3.4
  6. scanpy >=1.7.2
  7. anndata >=0.7.5
  8. tqdm >=4.61.2
  9. termcolor >=1.1.0
  10. numpy >=1.19.5
  11. pandas >=1.2.4
  12. torch-geometric >=1.7.0
  13. scikit-learn >=0.24.2
  14. torch-sparse >=0.6.12
  15. torch-scatter >=2.0.8

Compatibility and release files

cellvgae publishes 1 wheel and 1 source archive for version 0.0.1b4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .