RGIFE: a ranked guided iterative feature elimination heuristic for biomarkers identification

We present RGIFE, an heuristic for biomarkers identification applicable to labelled –omics data (e.g. control vs. case) for which a classification problem can be formulated. RGIFE is guided by the information extracted from machine learning models with the aim to identify minimal and highly predictive biomarker sets.