candis is an open source data mining suite (released under the GNU General Public License v3) for gene expression data 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.
Assuming you've installed dependencies, simply
$ pip install candis
$ curl -sL git.io/install-candis | python # with dependencies
... and lauch candis
's development server:
$ candis
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)
You can also attempt to install candis via Docker as follows:
$ docker pull helikarlab/candis
... and simply run the image optionally mapping the port 5000.
$ docker run -p 8888:5000 helikarlab/candis
OR
After cloning the repository, build from the updated Dockerfile and docker-compose.yml:
$ docker-compose build
$ docker-compose up
Then go to localhost:4000 in your browser to open the app.
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
-
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
- Production Dependencies
- R
- WEKA (NOTE: Requires Java)
- Python 3.6+ and PIP (Python's Package Manager)
- NumPy
- Development Dependencies
Dr. Tomas Helikar, Ph.D [email protected] Principal Investigator |
Dr. Akram Mohammed, Ph.D [email protected] Author and Maintainer |
Achilles Rasquinha [email protected] Author and Maintainer |
Rupav Jain [email protected] Author and Maintainer |
This software has been released under the GNU General Public License v3.