Supervised-ML-for-SNP-data-in-patients-with-Colorectal-Cancer

Code project for the Machine Learning course in the Masters in Computational Biology

This repository implements code for deploying and comparing supervised machine learning models to develop a classifier that will distinguish if an patient with Colorectal cancer (CRC) will have a good (R) or inexistent (NR) response to treatment based on its Single-Nucleotide polymorphism (SNP) information.