Table 1

RMS distribution for parameter estimates.

RMS < 10.0

10.0 ≤ RMS < 12.0

12.0 ≤ RMS < 14.0

RMS ≥ 14.0

θin

5

36

21

18

<a onClick="popup('http://www.biomedcentral.com/1752-0509/2/83/mathml/M41','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1752-0509/2/83/mathml/M41">View MathML</a>

71

3

1

5

<a onClick="popup('http://www.biomedcentral.com/1752-0509/2/83/mathml/M42','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1752-0509/2/83/mathml/M42">View MathML</a>

63

7

2

8

Entries in the table show the number of parameter estimates with corresponding ranges for RMS, where θin correspond to initial parameter estimate; <a onClick="popup('http://www.biomedcentral.com/1752-0509/2/83/mathml/M41','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1752-0509/2/83/mathml/M41">View MathML</a> and <a onClick="popup('http://www.biomedcentral.com/1752-0509/2/83/mathml/M42','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1752-0509/2/83/mathml/M42">View MathML</a> correspond to the parameter estimates after using the LM method in the full search case and the case of fixed promoter thresholds, respectively.

Ashyraliyev et al. BMC Systems Biology 2008 2:83   doi:10.1186/1752-0509-2-83

Open Data