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Table 3 The selected best predictive model for each (sub)network with respect to the GenAge-based aging- and non-aging-related gene labels, and when using HPRD

From: Improved supervised prediction of aging-related genes via weighted dynamic network analysis

Entire

Induced-Dynamic

Induced-Static

SGDV + None + NB

DGDV + None + NB

SGDV + None + NB

NetWalk-Dynamic

NetWalk-Static

NetWalk-Static*

DGDV + None + NB

30BPIs + None + SVM-rbf

30BPIs + PCA + LR

wNetWalk-Dynamic

wNetWalk-Static*

 

Diff-nobin-2 + None + LR

Static-nobin-2 + None + LR

 
  1. The model is represented as “X+Y+Z”, where X represents the selected feature, Y represents the selected dimensionality reduction choice (i.e., None or PCA), and Z represents the selected classifier. For dimensionality reduction choices, “None” means the selected feature is in its full version, and “PCA” means the selected feature is in its PCA-reduced version. For the best predictive models when using BioGRID instead of HPRD, see Additional file 1: Table S3