Skip to main content

An efficient triple non-negative matrix factorisation method for integrative analysis of single-cell multiomics data

Project description

#Overview:TriTan is a Python package that provides an efficient joint factorisation method for single-cell multi-omics data.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

TriTan-1.1.1.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

TriTan-1.1.1-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file TriTan-1.1.1.tar.gz.

File metadata

  • Download URL: TriTan-1.1.1.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.5

File hashes

Hashes for TriTan-1.1.1.tar.gz
Algorithm Hash digest
SHA256 a787e54dd85582b5ced43e4f554c992064011d64fab67fd7221d74a47ec644ab
MD5 5302c8e9aff970444a272333cf47044b
BLAKE2b-256 2a1d97d2d2d91068c0973b06f68ccb0d7cabd4791ce9567f16b980176ad2f306

See more details on using hashes here.

File details

Details for the file TriTan-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: TriTan-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.5

File hashes

Hashes for TriTan-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9139799b502c65fc3e5d366fbf90fd631356129b6ac69acd0443b33cfc1fd34f
MD5 3bf6290fb602a7f1ab3e194aeb762a6e
BLAKE2b-256 21c0b7e2fc8a66d53caa8eb870988fe7ac3ad035c1f36c3d9d19b922df7ce6df

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page