Table 4. Model evaluation by logical steady state and microarray analysis.
Experiment source scenario | Experiment target scenario | Model LSSA simulation | Total number of genes | Number of true predictions | p-value of true predictions | Number of small error predictions | Number of large error predictions |
U2OS cells under DNA damage | SAOS2 cells under DNA damage | P53 wt with DNA damage ON vs p53 null with DNA damage ON | 200 | 109(54.5%) | 2.6×10−10 | 80(40%) | 11(5.5%) |
U2OS cells without DNA damage | SAOS2 cells without DNA damage | P53 wt with DNA damage OFF vs p53 null with DNA damage OFF | 200 | 111(55.5%) | 4.1×10−11 | 77(38.5%) | 12(6%) |
U2OS cells without DNA damage | U2OS cells under DNA damage | P53 wt with DNA damage ON vs p53 wtwith DNA damage OFF | 200 | 142(71%) | <<10−15 | 56(28%) | 2(1%) |
SAOS2 cells without DNA damage | SAOS2 cells under DNA damage | P53 null with DNA damage ON vs p53 null with DNA damage OFF | 200 | 131(65.5%) | <<10−15 | 65(32.5%) | 4(2%) |
HCT116 cells p53+/+ without DNA damage | HCT116 cells p53−/−without DNA damage | P53 null with DNA damage OFF vs p53 wt with DNA damage OFF | 169 | 88(52.1%) | 1.8×10−7 | 72(42.6%) | 9(5.3%) |
The changes of gene expression in experimental microarray data were compared with model simulation results. The number of true predictions, small errors, large errors and their percentage were calculated and listed.