A Bayesian model for identifying gene expression outliers for individual single samples (N-of-1) when compared to a cohort of background datasets.
Project description
The author of this package has not provided a project description
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
Built Distribution
Close
Hashes for gene-outlier-detection-0.10.0a0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 80726f8871d855c95c16f014a699eb89971ceb1ff6f1cab3bf17031c4eda2dfb |
|
MD5 | 5f4c4431946c7fa7e2a24aed9a53835c |
|
BLAKE2b-256 | 22a710972e1a726dd5a054d99c1b4d72a4b29eae727023f98d7ec887cded1a0d |
Close
Hashes for gene_outlier_detection-0.10.0a0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97265c4f10a7f6f01e8118c9a240136ee9123c9c84ba7eebb9eb1a8051711344 |
|
MD5 | d17cc851763a744eb679054ebade766d |
|
BLAKE2b-256 | e03b385af6e7a864625b2ddd9754b9846d4ee0289b0263f2d9c697e8256c129b |