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A data mining suite for DNA microarrays

candis is an open source data mining suite (released under the GNU General Public License v3) for DNA microarrays that consists of a wide collection of tools you require, right from Data Extraction to Model Deployment. candis is built on top of the toolkit - CancerDiscover written by the bioinformaticians at HelikarLab.

WARNING: candis currently is still in dev mode and not production-ready yet. In case if you run across bugs or errors, raise an issue over here.

Table of Contents

• Installation
• Usage
• Features
• Dependencies
• License

Installation

To install candis right from scratch, check out our exhaustive guides:

• A Hitchhiker's Guide to Installing candis on Mac OS X
• A Hitchhiker's Guide to Installing candis on Linux OS (In Progress)
• A Hitchhiker's Guide to Installing candis on Windows OS (Contributors Wanted)

Usage

Launching the RIA (Rich Internet Application)

via CLI

$ candis

OR

$ python -m candis

via Python

>>> import candis
>>> candis.main()

Using the CLI (Command Line Interface)

$ candis --cdata path/to/data.cdata --config path/to/config.json

Features

• Converting a CDATA to an ARFF file

  >>> import candis
  >>> cdata = candis.cdata.read('path/to/data.cdata')

  Then, simply use the CData.toARFF API:

  >>> cdata.toARFF('path/to/data.arff')

• Running a Pipeline.

  >>> pipe = candis.Pipeline()
  >>> pipe.run(cdata)
  >>> while pipe.status == candis.Pipeline.RUNNING:
  ...     # do something while pipeline is running

Dependencies

• Production Dependencies
  • R
  • WEKA (NOTE: Requires Java)
  • Python 3.6+ and PIP (Python's Package Manager)
• Development Dependencies
  • Node.js
  • SASS

License

This software has been released under the GNU General Public License v3.