Parallel Anomaly geNetic Tracking System
PANTS is a machine learning system that can help to detect genetic anomolies. After being trained with healthy genetic information, it can read test data and help to predict when a patient's information is significantly different from a healthy patient.
PANTS requires an installation of Node.js on the host machine of version 0.8.0 or above. NPM (installs with Node.js) must be installed as well.
node pants [options]
Options:
--train The location of the training data.
--test The location of the testing data.
-k The number of neighbors to consider.
-l Run linearly.
--threads The number of threads to use.