A Disease-Guided Representative Gene Selection Framework for High-Dimensional Gene Expression Analysis
Gene expression datasets provide valuable information for disease classification and biomarker discovery; however, their high dimensionality and limited sample size may limit classification performance and reduce biological interpretability. This study proposes GeDiRep, a prior knowledge-guided framework for identifyin...