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. 2014 Jan 1;9(1):e84227. doi: 10.1371/journal.pone.0084227

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© 2014 Saha et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Communities are extracted from the molecular interaction network to generate Molecular Interaction Subnetworks (MISs)(A–B). Each MIS is mapped to microarray probes and all the samples are clustered according to the expression pattern of a certain number of highly differentially expressed probes (3 probes in this example figure). MISs are ranked by the entropy score which is lowest when every cluster contains only one type (phenotype) of samples (C–D). Finally, the top MISs cast votes to predict the context (phenotype) of a new sample. The voting depends on the proportion of different types of samples in the cluster closest to the new sample (E–G).

Inline graphic — Communities are extracted from the molecular interaction network to generate Molecular Interaction Subnetworks (MISs)(A–B). Each MIS is mapped to microarray probes and all the samples are clustered according to the expression pattern of a certain number of highly differentially expressed probes (3 probes in this example figure). MISs are ranked by the entropy score which is lowest when every cluster contains only one type (phenotype) of samples (C–D). Finally, the top MISs cast votes to predict the context (phenotype) of a new sample. The voting depends on the proportion of different types of samples in the cluster closest to the new sample (E–G).