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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.