Table 2

Parameter estimations of the branched pathway model using noisy data
Simultaneous method Incremental method
<a onClick="popup('http://www.biomedcentral.com/1752-0509/6/142/mathml/M20','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1752-0509/6/142/mathml/M20">View MathML</a> min ΦS min ΦC min ΦS
CPU time (sec) 17.86 h 534.83 ± 22.12 71.88 ± 6.33 1.17 ± 0.12
44.63 h
eSSM GO iterations 254 3494 ± 348 12 ± 2 10 ± 3
426
Parameter error (%) 75.42 54.36 ± 4.47 75.77 ± 6.11 × 10-3 51.15 ± 1.38 × 10-3
34.98
ΦC
    3.62 × 10
    -2
6.06 × 10-2 ± 1.14 × 10-3
    3.52 × 10
    -2
 ± 9.50 × 10-9
4.76 × 10-2 ± 3.81 × 10-7
    3.27 × 10
    -2
ΦS 2.06 × 10-1
    1.34 × 10
    -1
 ± 6.02 × 10-4
1.64 × 10-1 ± 2.23 × 10-5
    1.38 × 10
    -1
 ± 2.26 × 10-10
1.60 × 10-1

a. Two out of five runs completed with a relative improvement of the objective function below 1% between iterations. The rest did not converge within the 5-day time limit after iterating for 805, 699, and 568 times. The corresponding ΦC at termination were 4.08 × 10-2, 5.05 × 10-2 and 6.25 × 10-2, respectively.

Jia et al.

Jia et al. BMC Systems Biology 2012 6:142   doi:10.1186/1752-0509-6-142

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