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Table 3 Cellular Stress Network coverage statistics for the test data set comparisons based on GSE18344 data

From: A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue

Comparison

WT 1d vs sham

Nrf2 KO 1d vs sham

Nrf2 KO 1d vs WT 1d

State Changes (SCs)

81

113

45

Significant Cellular Stress Network Hypotheses

39

47

23

SCs Explained by Network

67/81 (83%)

75/113 (66%)

40/45 (89%)

SCs Explained by Nfe2l2

29/81 (36%)

20/113 (18%)

31/45 (69%)

SCs Explained by Nfe2l2 or Keap1

37/81 (46%)

27/113 (24%)

36/45 (80%)

  1. SCs = mRNA State Changes; hypotheses - network model nodes predicted to have significantly increased or decreased activity by Reverse Causal Reasoning (RCR) on the SCs for each test data set comparison.