Aissa Houdjedj

The paper evaluates existing batch integration metrics in scRNA-seq and introduces sBEE, a new metric that provides more reliable assessments of batch mixing across diverse scenarios.

PersonaDrive identifies and prioritizes patient-specific cancer drivers by integrating genomic data, pathways, and protein connectivity, outperforming existing methods on TCGA and cell-line data.

The paper introduces a network-centric framework to evaluate mutual exclusivity tests for cancer drivers, addressing limitations in current evaluation methods by incorporating network knowledge and resolving confounding factors.

BetweenNet identifies cancer driver genes by integrating genomic data with protein-protein interaction networks using betweenness centrality and random walks, outperforming existing methods in recovering known cancer genes.

RBPSponge identifies lncRNAs that act as sponges for RBPs by analyzing RBP binding sites and CLIP peaks on lncRNAs.