Integrative tools to anlysis companian diagnosis gene data set.
Project description
pyCDxAnalysis
pyCDxAnalysis is a python library to format, filter, analyze and visulize cancer companian diagnosis data in a unifying thread. It provides universal interface to filter samples via a range of condition, and various methods to perform most commonly used analysis in cancer genomics.
Installation
From source code.
$ git clone https://github.com/JaylanLiu/pyCDxAnalysis
$ cd pyCDxAnalysis
$ python setup.py install
To install the package with pip, run:
pip install pyCDxAnalysis
Example usage
An executable demonstration of the package is available on GitHub as a Jupyter Notebook, https://github.com/JaylanLiu/pyCDxAnalysis/blob/main/pyCDxAnalysis/pyCDxAnalysis_test.ipynb.
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
pyCDxAnalysis-0.0.14.tar.gz
(15.0 kB
view hashes)
Built Distribution
Close
Hashes for pyCDxAnalysis-0.0.14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1b938777f5d6b7b493855ab29d889790d469886657c11bad88a8c96f8bbc0cf2 |
|
MD5 | b93daab63f9373a390d5dae901edca51 |
|
BLAKE2b-256 | 9b3cea6ce5d49fddde01bdd0eb9b7699a527c8e7a1952a4ce53bbad0a9c14327 |