Python implementation of the QRank method described in Song et al Bioninformatics 2017.
Project description
QRankGWAS
Software implementing the QRank method described in Song el al. Bioninformatics 2017. It was adapted for use within the UK Biobank using Python. It was designed to be used as a command-line tool. Note, the R QRank version and the python implementation will not yield identical results. The python version uses Iterative Weighted Least Squares to fit the null regression models, while the R version uses the simplex method. Therefore, the two implementations can produce slightly different p-values, but they are highly consistent.
Installation:
pip install QRankGWAS
Following installation, specific details regarding the software can be found by running the following command:
python -m QRankGWAS -h
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
Built Distribution
File details
Details for the file QRankGWAS-0.0.9.tar.gz.
File metadata
- Download URL: QRankGWAS-0.0.9.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e4665950576a6b6e981e81d344085284bbe4817468faedd6edf60939d4dd32ee |
|
| MD5 | b00c979724c7f7e5a4737c07517826d9 |
|
| BLAKE2b-256 | 41c0c97d7b8ddd2853ba8839b004a8437b71447c7e35e06f0d5199440c5f6838 |
File details
Details for the file QRankGWAS-0.0.9-py3-none-any.whl.
File metadata
- Download URL: QRankGWAS-0.0.9-py3-none-any.whl
- Upload date:
- Size: 8.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 829c281568c3c0d39dbe31a5429ba35687e8475cd59535b99ae238e65d75bdc8 |
|
| MD5 | b220de548ba57525b42253527a5aa610 |
|
| BLAKE2b-256 | 705de2e9afb5640003236502f3ab038151c24f8b7ca2efe62c3269da9fe473e0 |
