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Table 1 Evaluation of the model estimation by the iNET approach

From: Integrative network-based Bayesian analysis of diverse genomics data

Model Parameters True value Mean estimation Estimated error
Three-way model
Case I G-C/M-C/M-G 0.2 0.23 0.04
Case II G-C/M-C/M-G 0.3 0.31 0.05
Case III G-C/M-C/M-G 0.4 0.40 0.05
Independent model
Case I G-C/M-C 0.2 0.22 0.04
Case II G-C/M-C 0.3 0.31 0.05
Case III G-C/M-C 0.4 0.43 0.04
Causal model     
Case I G-C/M-G 0.2 0.23 0.04
Case II G-C/M-G 0.3 0.31 0.05
Case III G-C/M-G 0.4 0.41 0.04
microRNA model
Case I M-C 0.2 0.22 0.04
Case II M-C 0.3 0.30 0.04
Case III M-C 0.4 0.39 0.05
  1. M: microRNA; G: gene expression; C: clinical outcome.