# Deep Learning for Cancer Therapy [![Build Status](https://travis-ci.org/skjena/cnnCancerTherapy.svg?branch=master)](https://travis-ci.org/skjena/cnnCancerTherapy)

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## Motivation:  

Machine learning can be used to perform unsupervised learning on the DNA sequences of patient tumors in order to  identify non-linear features of the tumor DNA that help predict treatment.  

## Goal:  

To use deep learning to identify patients whose tumor DNA mutations “look similar to” other tumors for which treatments are effective.  

## Platforms: 

TensorFlow

## Installations:

Installing Tensorflow: https://www.tensorflow.org/versions/r1.8/install/

## Team & Contact:  

|Suraj Jena                <skjena@ucdavis.edu>|  

|Kumud Ravisankaran <kravisankaran@ucdavis.edu>|  

|Valeria Brewer        <valramirez@ucdavis.edu>|  

|Ninad Mehta              <ntmehta@ucdavis.edu>|  

#### Project no longer maintained, due to absence of cloud credits since this was a research project & proof-of-concept was complete. Contact @author if interested in a HOWTO, or getting it back up.