Skip to main content

A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.

Project description

pyLemur

Tests Documentation

The Python implementation of the LEMUR method to analyze multi-condition single-cell data. For the more complete version in R, see github.com/const-ae/lemur. To learn more check-out the function documentation and the tutorial at pylemur.readthedocs.io. To check-out the source code or submit an issue go to github.com/const-ae/pyLemur

Citation

Ahlmann-Eltze C, Huber W (2024). “Analysis of multi-condition single-cell data with latent embedding multivariate regression.” bioRxiv. doi:10.1101/2023.03.06.531268.

Getting started

Installation

You need to have Python 3.9 or newer installed on your system. There are several alternative options to install pyLemur:

Install the latest release of pyLemur from PyPI:

pip install pyLemur

Alternatively, install the latest development version directly from Github:

pip install git+https://github.com/const-ae/pyLemur.git@main

Documentation

For more information on the functions see the API docs and the tutorial.

Contact

For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.

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

pylemur-0.2.0.tar.gz (99.0 kB view details)

Uploaded Source

Built Distribution

pylemur-0.2.0-py3-none-any.whl (16.8 kB view details)

Uploaded Python 3

File details

Details for the file pylemur-0.2.0.tar.gz.

File metadata

  • Download URL: pylemur-0.2.0.tar.gz
  • Upload date:
  • Size: 99.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pylemur-0.2.0.tar.gz
Algorithm Hash digest
SHA256 0e41e5be0fbf1144cc2384c863eec90dbdc64a1b8b3e36712b482bee851886c1
MD5 3d96583c537d3005a55e95ffc0a5362f
BLAKE2b-256 8826fe38348393fc6d3d46933ffd6662473e912ee7fac1fd562e9eb9e8d05e3c

See more details on using hashes here.

File details

Details for the file pylemur-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: pylemur-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 16.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pylemur-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cd5654c5b452b3fc06d0ba5947cdf6692ecd48bb9fae4abcbf239cee003dd587
MD5 b048412f3cdd477920a3df0847b78b1c
BLAKE2b-256 193bd070f69daa54a065f9af479ae48092bf13cbfde0ef3e45b01b9f7b7c758e

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