Skip to main content

Extract hierarchical signatures of cell state from single-cell data.

Project description

[![pypi](https://img.shields.io/pypi/v/scdef.svg?style=flat)](https://pypi.python.org/pypi/scdef) [![build](https://github.com/pedrofale/scdef/actions/workflows/main.yaml/badge.svg)](https://github.com/pedrofale/scDEF/actions/workflows/main.yaml)

Deep exponential families for single-cell data. scDEF learns de novo gene signatures from scRNA-seq data at multiple levels of resolution.

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

scdef-0.0.1.tar.gz (23.7 kB view hashes)

Uploaded Source

Built Distribution

scdef-0.0.1-py3-none-any.whl (28.0 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