Community-Centers Identify Robust Biomarker in High-Dimensional, Low-Sample-Size Gene Expression Data

High-dimensional, low-sample-size bulk gene expression data poses a fundamental challenge in transcriptomics, which typically includes tens of thousands of genes but relatively few samples, leading to overfitting and unstable selection for key features as biomarkers. We propose a regression by commu