Vuk Janjić

TL;DR: A global genetic interaction network highlights the functional organization of a cell and provides a resource for predicting gene and pathway function and how coherent sets of negative or positive genetic interactions connect protein complex and pathways to map a functional wiring diagram of the cell.

TL;DR: This work discovers that the interaction between a small number of roles, played by nodes in a network, can characterize a network's structure and also provide a clear real-world interpretation, and develops a framework for analysing and comparing networks, which outperforms all existing ones.

TL;DR: This work finds 14 disease-disease associations currently not present in Disease Ontology and provides evidence for their relationships through comorbidity data and literature curation and finds they are the most important predictor of a link between diseases.

TL;DR: This work surveys current network analysis methods that aim to give insight into human disease, aiming to untangle the complexity of cellular network organization.

TL;DR: This work proposes a methodology that examines the PPI network wiring around genes involved in CVDs to identify a subset of CVD-related genes that are statistically significantly enriched in drug targets and “driver genes,” and shows that these genes are functionally similar to currently known CVD drug targets, which confirms a potential utility of the methodology towards improving therapy forCVDs.