BioinformaticsbioRxivPreprint
Performance Assessment of an Unsupervised Variable Selection Approach for Biomarker Discovery and Glioblastoma Subtyping
Roberta Coletti, Jorge Orestes Cerdeira, Marcos Raydan, Marta Belchior Lopes
This study evaluates unsupervised variable selection methods for high-dimensional omics data and introduces TRIM-IT, a tool that identifies glioblastoma subtypes with distinct molecular profiles and survival outcomes.
DOI 10.1101/2025.03.11.642670