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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for maxxxxxxxin from gravatar.com maxxxxxxxin

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT Licence

Author: maxxxxxxxin

Tags pip, TriTan

Requires: Python >=3.6

Project description

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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for maxxxxxxxin from gravatar.com maxxxxxxxin

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT Licence

Author: maxxxxxxxin

Tags pip, TriTan

Requires: Python >=3.6


Release history Release notifications | RSS feed

This version

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.9

Download files

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

Source Distribution

TriTan-1.1.7.tar.gz (4.9 kB view hashes)

Uploaded Source

Built Distribution

TriTan-1.1.7-py3-none-any.whl (5.6 kB view hashes)

Uploaded Python 3

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