Most experiments on biological systems are designed to provide positive information, for example that two genes function in a serial pathway or that two proteins are found in the same protein complex. Some experiments, however, provide negative information evidence that two genes function in different pathways. This talk describes new algorithms for searching networks defined by negative information about genes and proteins.

Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions

Metabolic Flux Correlations, Genetic Interactions, and Disease