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The result of the cis-regulatory module detection is depicted in Figure 7 (e).

This means that WISH network construction and module detection is done without using prior knowledge.

First, module detection is performed in each dataset separately, and corresponding module eigengenes are calculated.

Next the consensus module detection is applied to the permuted data sets and the test statistic is evaluated.

By definition, the consensus module detection is designed to find modules that are shared between data sets.

Since the module detection is unbiased and does not make use of GO information, each of the modules was initially labeled with a unique color as an identifier.

Hence, graph comparison and module detection are interrelated rather than isolated topics.

Module detection was carried out purely through alignment of functionally similar proteins across species.

Graph comparison and module detection are two commonly used strategies for analyzing PPI networks.

Of these computational methods, graph comparison and module detection are the two most commonly used strategies.

Graph comparison and module detection are the two most commonly used strategies for analyzing PPI or other biological networks.