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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.