Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging.

This result was consistent across feature levels and parameter settings, and is highly significant for all tests: that is, for every comparison between modular subnetwork features and gene features, we have P < 10 -15 .

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Modular subnetworks are more robust across studies than regular subnetworks Comparing the modular subnetworks m1 to m5 and the regular subnetworks r1 to r5 derived from both studies, we found that modular subnetworks identified as significant in one study were highly likely to be significant in the other study (that is, seed genes of significant modular subnetworks were highly conserved across studies).

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