Ermin Hodzic

ReDeNovo infers both known and novel mutational signatures from cancer genomes, outperforming existing methods and identifying new signatures in real data.

SpacePhenotyper transfers predictive gene-phenotype relationships from bulk data to spatial transcriptomics to analyze clinical phenotypes in tumor regions.

This study uses mutational signatures to assess the impact of smoking on biological processes related to SARS-CoV-2 infection and disease progression in COVID-19.

This paper introduces CONETT, a method to identify conserved tumor evolution trajectories across multiple cancers, finding both previously reported and novel trajectories in renal and lung cancer datasets.

The paper introduces the Cancer LncRNA Census (CLC), a curated resource of lncRNAs with causative roles in cancer, and shows their genomic and evolutionary features.

ActivePathways integrates multivariate omics data to identify enriched pathways, revealing cancer driver genes and prognostic pathways in breast cancer.

The paper introduces cd-CAP, a method to detect conserved alteration patterns in cancer subnetworks across tumor samples.