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Table 3 Comparison of the numbers of eSS iterations for the branched pathway case study

From: Parameter estimation of dynamic biological network models using integrated fluxes

eSS iterations

Noise-free data a

Noisy data b

 

(s,o)=(3,3)

(s,o)=(5,3)

(s,o)=(3,5)

(s,o)=(3,3)

(s,o)=(5,3)

(s,o)=(3,5)

SPE-slope

6730

9144

8636

1440 ± 1045

753.6 ± 490.7

259.0 ± 94.9

IPE-slope

63

65

143

66.2 ± 7.2

87.0 ± 18.6

92.4 ± 69.7

IPE-ODE

75

305

225

76.6 ± 17.8

83.8 ± 33.2

92.6 ± 43.3

SPE-ODE

3827 c

787.8 ± 438.7

IFPE

112

67.0 ± 13.1

IFPE-ODE

156

70.2 ± 11.8

  1. aFor noise-free data, five independent runs were carried out. The number of eSS iterations corresponds to the run with the lowest objective function value.
  2. bFor noisy data, the reported values are the mean ± standard deviation of five technical replicates of the data.
  3. cOnly three out of five repeated runs finished within 24 hours. The number of eSS iterations corresponds to the run with the lowest objective function value among the three successful runs.
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BMC Systems Biology

ISSN: 1752-0509

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