Skip to main content

LIBRA package

Project description

Downloads DOI

LIBRA - Machine Translation between paired Single-Cell Multi-Omics Data

Summary

LIBRA is a scalable toolkit for AI-Single-Cell data integration and prediction. It includes loading, clustering and visualization for either tasks. The Python-based implementation efficiently deals with big datasets as well as reduce the time requirements for multiple grid-base model trainings using parallelization.

Discuss usage on the Github. Read the documentation.

For further details, please refer to the online manuscript currently at biorxiv repository (will be updated asap). If LIBRA is useful for your research, consider citing us.

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

sc_libra-0.0.48.tar.gz (18.3 kB view hashes)

Uploaded Source

Built Distribution

sc_libra-0.0.48-py3-none-any.whl (14.3 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