NIH R01 · 2025
Biological networks are powerful resources for the discovery of genes and genetic modules. For the classical physical protein-protein interaction network, as well as for other types of pairwise association data between genes or proteins that is organized according to homophilic principles, diffusion-based low dimensional network embedding methods have proved quite powerful. While at a coarse scale, genetic interaction networks, built from high-throughput epistasis experiments, also display some homophily in their organization, at a fine scale, they display very different graph-theoretic structure that can be leveraged to find mechanisms of redundancy and fault tolerance among biological…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.