scQTLib: single-cell quantitative trait analysis library

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for huangyh09 from gravatar.com huangyh09

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: Apache-2.0

Author: ['Yuanhua Huang']

Tags generalised linear model, negative binomial, likelihood ratio test

Project description

Installation

You can install from this GitHub repository for latest (often development) version by following command line

pip install -U git+https://github.com/huangyh09/scQTLib

In either case, add --user if you don’t have the write permission for your Python environment.

Quick start

Coming soon…

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for huangyh09 from gravatar.com huangyh09

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: Apache-2.0

Author: ['Yuanhua Huang']

Tags generalised linear model, negative binomial, likelihood ratio test


Release history Release notifications | RSS feed

This version

0.1.3

0.1.2

0.1.1

Download files

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

Source Distribution

scqtlib-0.1.3.tar.gz (16.9 kB view hashes)

Uploaded Source

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