A flexible framework for minimal biomarker signature discovery from clinical omics studies without library size normalisation
Daniel Rawlinson, Chenxi Zhou, Myrsini Kaforou, Kim‐Anh Lê Cao, Lachlan Coin, RAPIDS Study Group
This paper introduces FS-PLS, a feature selection method that generates minimal disease signatures from omics data without requiring library size normalization, achieving smaller and comparable performance to existing methods.
PLOS Digital Health · Mar 26, 2025Peer-reviewedBioinformatics