Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance

Abstract

Zhakparov et al.the selected features in related studies was assessed. We found that genetic features selected with ML-based methods, in general, were of higher biomedical relevance. We argue that ML-based feature selection followed by a careful evaluation of the selected feature sets extend the possibilities of precision medicine to discover biomarkers.