RIDDEN: Data-driven inference of receptor activity from transcriptomic data
Szilvia Barsi, Eszter Varga, Daniel Dimitrov, Julio Sáez-Rodríguez, László Hunyady, Bence Szalai
RIDDEN predicts receptor activity from receptor-regulated gene expression, outperforming methods that use ligand-receptor co-expression, and identifies mechanistic biomarkers in cancer patients.
PLoS Computational Biology · Jun 16, 2025Peer-reviewedBioinformatics