Skip to main content

Genetic analysis toolbox using mixed models

Project description

limix

Travis AppVeyor Documentation Forum

Genomic analyses require flexible models that can be adapted to the needs of the user.

Limix is a flexible and efficient linear mixed model library with interfaces to Python. It includes methods for

  • Single-variant association and interaction testing
  • Variance decompostion analysis with linear mixed models
  • Association and interaction set tests
  • Different utils for statistical analysis, basic i/o, and plotting.

We have an extensive documentation of the library. If you need further help or want to discuss anything related to limix, please, join our forum 💬 and have a chat with us 😃. In case you have found a bug, please, report it creating an issue.

Install

NOTE: We will be maintaining limix 2.0.x for a while, in case you find some missing feature in limix 3.0.x. If that is the case, please, type pip install "limix <3,>=2" in your terminal.

Installation is easy and works on macOS, Linux, and Windows:

pip install limix

If you already have Limix but want to upgrade it to the latest version:

pip install limix --upgrade

Interactive tutorials

Running tests

After installation, you can test it

python -c "import limix; limix.test()"

as long as you have pytest.

Authors

License

This project is licensed under the Apache License License.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

limix-3.0.4.tar.gz (82.0 kB view details)

Uploaded Source

File details

Details for the file limix-3.0.4.tar.gz.

File metadata

  • Download URL: limix-3.0.4.tar.gz
  • Upload date:
  • Size: 82.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for limix-3.0.4.tar.gz
Algorithm Hash digest
SHA256 9e32e82c18d66676c1d3c47c045b535f2064dba5bebafcd4036d1e01ef63d98a
MD5 aa8f8858c5bf4e0195eda7e95f73af91
BLAKE2b-256 d668f878f7879c772016ebea618255a781408d057aec0f06673f7a8e5909344c

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