Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.

In this case we can reduce the scale of the subnetwork sequentially, that is, a subset SN ′ of size b − 1, contained in SN , is selected which is more likely to be significant among all the subsets of SN with b − 1 vertices.

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