Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data.

1 , Supplementary Figure S1 ).The modules were numbered in increasing order from 1 to 30 according to scores of the clustering algorithm 15 (Supplementary Table S1 ); 1 is assigned to the module with the highest score (most densely connected to each other).Next, we assessed whether genes of the clustered terms are significantly interconnected in physical interactions by comparing each of 30 modules with randomly generated networks having the same gene number of the corresponding module and confirmed the highly significant inter-connectivity of them 12 (Supplementary Figure S2 , S3 , p < 0.00001), meaning that their components are not randomly distributed in the interactome.

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