Official implementation for the paper "Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets", published in Nature Scientific Reports (link).
In this study we investigate how computational intelligence methods can be applied to predict novel therapeutic targets in oncology. We compared different machine learning classifiers applied to the task of drug target classification for nine different human cancer types.
