Heiko Horn

The paper uses DeGAs to identify genetic components across 2,138 phenotypes in the UK Biobank, revealing novel adipocyte biology through variant and gene contributions to obesity-related traits.

GeNets provides a platform to compare genomic networks using machine learning and allows analysis of genetic and RNA sequencing data.

The paper identifies 685 putative cancer-related genes by analyzing mutation depletion in protein interaction networks across 4,700 cancer genomes.

This study examines the role of microdeletions in different epilepsy subtypes, finding enriched contributions in Genetic Generalized Epilepsy but not in Rolandic or Adult Focal Epilepsy.

The paper constructs a scored human protein-protein interaction network, InWeb_IM, which has more interactions and better functional signal than existing resources, and applies it to annotate genes from cancer and neuropsychiatric disease genomes.

The paper quantifies network mutation burdens across 21 tumor types to identify putative cancer genes, finding 62 new candidates with greater sensitivity for low-frequency mutations.