A map of cross-talk between 363 biological groups in S. cerevisiae. The combination of our Bayesian data integration system and our network discovery algorithm allows us to find biologically significant cross-talk among known biological groups. The interaction matrix was generated based on 363 KEGG pathways, GO categories, and co-regulated transcription factor targets. Rows of this matrix correspond to the query group and columns correspond to potential cross-talk partner processes; red boxes signify statistically significant links. The cross-talk matrix has been clustered  to reveal tightly connected groups of interacting processes (clusters in this matrix correspond to sets of groups who interact with same partners). Highlighted clusters are discussed in the text. See supplemental Figure S10 in  for a complete, labeled map.