Skip to main content

scQTLib: single-cell quantitative trait analysis library

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


Download files

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

Source Distribution

scqtlib-0.1.4.tar.gz (18.3 kB view details)

Uploaded Source

File details

Details for the file scqtlib-0.1.4.tar.gz.

File metadata

  • Download URL: scqtlib-0.1.4.tar.gz
  • Upload date:
  • Size: 18.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.3

File hashes

Hashes for scqtlib-0.1.4.tar.gz
Algorithm Hash digest
SHA256 d671a6e3b55e838a3e74417c9a4c73f96e8496114b78399a3fe53fd47d41b92a
MD5 55d3177f4d3e2ddff60e493aac9513d8
BLAKE2b-256 7fb89e50c077066d2ce8df71d1a8bf5825cd5056a7110eb032a4767ab5029771

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page