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Table 5 Assessment result for the different methods applied to data sets generated in the stimulation study

From: Integrating external biological knowledge in the construction of regulatory networks from time-series expression data

Method Data used Network size p-value of chi sq testa TPR (%)b # mis-class.c TP
iBMA-prior Generated data + prior probability matrix 14011 <1.00E-320 71.13 16029 9966
iBMA-shortlist Generated data + prior probability matrix 30753 <1.00E-320 47.23 23652 14526
iBMA-size Generated data only 9349 <1.00E-320 20.31 27503 1899
iBMA-noprior Generated data only 29393 <1.00E-320 8.55 46317 2513
  1. a The p-value of Pearson’s chi-square test measures the strength of association between an inferred network and the true network for the simulation study.
  2. b True positive rate (TPR) is defined as the proportion of correctly inferred regulatory relationships.
  3. c The number of misclassified cases is the sum of false positives and false negatives.
  4. Remark: The values reported in the table were averaged across the 20 replications. The true network for the simulation study contained a total of 21951 edges.
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BMC Systems Biology

ISSN: 1752-0509

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