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. Author manuscript; available in PMC: 2012 Mar 18.
Published in final edited form as: Cell. 2011 Mar 18;144(6):986–998. doi: 10.1016/j.cell.2011.02.016

Figure 3. Integrated networks.

Figure 3

Co-expression and phenotypic profiling can be thought of as matrices comprising all genes of an organism against all conditions that this organism has been exposed to within a given expression compendium and all phenotypes tested, respectively. For any correlation measurement, Pearson Correlation Coefficients (PCCs) being one of the most widely used, the threshold between what is considered co-expressed and non-co-expressed needs to be set using appropriate titration procedures. The resulting integrated networks have powerful predictive value.