FIGURE 1 

Overview of the analysis. From gene expression data for pairs of human genes and their orthologs, we identify proteins most likely to physically associate. For each pair of human genes, we compare the correlation in their mRNA expression patterns with the correlation in expression of their corresponding ortholog pairs, searching for patterns of conserved co-expression strongly enriched among physically associated proteins. By filtering the data to remove spurious associations (e.g. from microarray cross-hybridization and non-conserved expression regulation) and testing the associations against known human protein interactions and annotations, we predict 7000 human physical protein associations.