Figure 2:

A data integration framework for using disparate -omic data sets together to identify functional sub-networks in complex phenotypes. Data/experimental procedures are shown on the upper panel, inferred information shown in solid boxes on the lower panel, computational algorithms are shown in dashed boxes on the lower panel are shown by solid lines pipeline for identification of disease-associated sub-networks. This framework was used to identify PPI sub-networks dysregulated in late-stage colorectal cancer, revealing novel targets that are dysregulated at the post-translational level, but were not captured by untargeted proteomic analysis (45).