Linear mixed model for GWAS
Project description
limix-lmm
This a standalone module that implements the basic functionalities of LMM-based models for genome-wide association studies. However, we recommend using this module using LIMIX2.
Install
From terminal, it can be installed using pip:
pip install limix-lmm
Documentation
The public interface and a quick start in python are available at http://limix-lmm.readthedocs.io/.
Problems
If you encounter any problem, please, consider submitting a new issue.
Authors
- Francesco Paolo Casale - https://github.com/fpcasale
- Danilo Horta - https://github.com/horta
- Rachel Moore - https://github.com/rm18
- Oliver Stegle - https://github.com/ostegle
License
This project is licensed under the Apache License (Version 2.0, January 2004) - see the LICENSE file for details
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-lmm-0.1.2.tar.gz
(15.4 kB
view details)
File details
Details for the file limix-lmm-0.1.2.tar.gz.
File metadata
- Download URL: limix-lmm-0.1.2.tar.gz
- Upload date:
- Size: 15.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4aa07d81f9e934bcb328ea5c9f1e5caf318976a84e5eea7332fc97b25e9a7481
|
|
| MD5 |
abb6c652190185a0f9c08516fbe53a42
|
|
| BLAKE2b-256 |
730c5e4099e04b0b523509bbe7007a28759fc536ace20394f9741dbb18885f64
|