ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction.
Journal:
BMC medical genomics
Published Date:
Jul 11, 2019
Abstract
BACKGROUND: Feature selection or scoring methods for the detection of biomarkers are essential in bioinformatics. Various feature selection methods have been developed for the detection of biomarkers, and several studies have employed information-theoretic approaches. However, most of these methods generally require a long processing time. In addition, information-theoretic methods discretize continuous features, which is a drawback that can lead to the loss of information.