1. Highly correlating interaction profiles can predict functional similarity
Highly correlating interaction profiles can predict functional similarity AROC curve displaying the performance of interaction profile similarity at predicting protein complex co‐membership. Curves are shown for different filtering parameter combinations. The curve corresponding to the parameter combination used for downstream analysis (πmin = 0.2; nmin = 15) is highlighted in red. A gray dashed line indicates the performance expected by random assignment.B, CExamples of protein complexes where complex members display highly correlated interaction profiles (rSCC = Spearman's correlation coefficient).DNetwork of genes with highly correlated interaction profiles. In total, 2,497 nodes (genes) are connected by 19,044 links (FDR of individual links < 1.5e‐05). An edge‐weighted spring‐embedded layout was used to position the nodes.ESpatial enrichment analysis with the SAFE algorithm highlights network modules consisting of genes with similar functional annotations based on Gene Ontology biological processes. The labels in the figure summarize the GO terms associated with each module. Source data are available online for this figure.
Benedikt Rauscher et al. Mol Syst Biol 2018;14:e7656
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