Skip to main content

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


Download files

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

Source Distribution

pyCDxAnalysis-0.0.30.tar.gz (19.2 kB view details)

Uploaded Source

Built Distribution

pyCDxAnalysis-0.0.30-py3-none-any.whl (18.8 kB view details)

Uploaded Python 3

File details

Details for the file pyCDxAnalysis-0.0.30.tar.gz.

File metadata

  • Download URL: pyCDxAnalysis-0.0.30.tar.gz
  • Upload date:
  • Size: 19.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.8

File hashes

Hashes for pyCDxAnalysis-0.0.30.tar.gz
Algorithm Hash digest
SHA256 abc0c535794775e132c307355754b436133848a87baa53a2ece3d89bc9a719ac
MD5 a90c35401dad07b0e497855a6c1c2b77
BLAKE2b-256 46aed1e252fc59650b8c0a1126e2637fd2880698b370f566e34f305eb91846d6

See more details on using hashes here.

File details

Details for the file pyCDxAnalysis-0.0.30-py3-none-any.whl.

File metadata

  • Download URL: pyCDxAnalysis-0.0.30-py3-none-any.whl
  • Upload date:
  • Size: 18.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.8

File hashes

Hashes for pyCDxAnalysis-0.0.30-py3-none-any.whl
Algorithm Hash digest
SHA256 9f0888eddf104630d5f76affaf9a1aef6c0a10f9439562ad35edf9540a09fff1
MD5 19ed1cba1bc0a2c0d53a566193943127
BLAKE2b-256 236363537aaffeda802df37a677644bbebc7c9f47fc0350f9a571a5aff34c98b

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