Factual package intelligence from PyPI

hto-dnd 0.1.4 package intelligence

A method to demultiplex hashtagged single-cell data by first applying a denoising and normalizing step adapted from DSB (Denoised and Scaled by Background).

pip install hto-dnd

Current version
0.1.4
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
24.6 KiB
Release history
6 releases with files
Median release cadence
2 days

hto-dnd dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.5.0
  2. numpy >=1.21.0
  3. matplotlib >=3.5.0
  4. seaborn >=0.12.0
  5. scipy >=1.8.0
  6. scikit-learn >=1.2.0
  7. scikit-image >=0.19.0
  8. anndata >=0.8.0
  9. pyyaml >=6.0

Compatibility and release files

hto-dnd publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 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.