Alamgir

A Robust Masked Painter Framework for Gene Selection in Binary Classification of High-Dimensional Functional Genomic Data

High-dimensional gene expression datasets in chemometric and biomedical research present significant challenges for machine learning because the number of genes greatly exceeds the number of available samples, increasing the risk of overfitting and reducing classification reliability. Existing gene selection methods ar...