Skip to main content

Table 4 Parameter identifiability of the D. salina model and confidence intervals based on original data and in silico experiments in log-space

From: Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions

Parameter \(\boldsymbol {\hat {\theta }_{i}}\) Original data: y=Gk 2 x 1 Add in silico y = x 3 Add in silico y = x 5
   Identifiability Lower CI Upper CI Identifiability Lower CI Upper CI Identifiability Lower CI Upper CI
log10k 1 -1.9507 identifiable -1.9526 -1.9481 identifiable -1.9507 -1.9507 identifiable -1.9512 -1.9499
log10k 2 1.2603 identifiable 1.2603 1.2663 identifiable 1.2624 1.2641 identifiable 1.2626 1.2648
log10k 3 3.3192 identifiable 3.3160 3.3251 identifiable 3.3173 3.320 identifiable 3.3183 3.3202
log10k 4 2.0231 identifiable 2.0192 2.0269 identifiable 2.0220 2.0240 identifiable 2.0218 2.0239
log10k 5 4.5278 identifiable 4.5214 4.5351 identifiable 4.5278 4.5278 identifiable 4.5264 4.5296
log10k 6 5.5047 identifiable 5.4963 5.5128 identifiable 5.5030 5.5056 identifiable 5.5030 5.5062
log10k 7 4.6765 identifiable 4.6683 4.6841 identifiable 4.6742 4.6774 identifiable 4.6752 4.6786
log10k 8 2.8452 identifiable 2.8222 2.8602 identifiable 2.8439 2.8464 identifiable 2.8406 2.8487
log10k 9 1.5753 identifiable 1.5697 1.5839 identifiable 1.5741 1.5759 identifiable 1.5749 1.5757
log10k 10 0.1611 non-identifiable 0.5602 identifiable 0.1611 0.1611 identifiable 0.1606 0.1616
log10P Q 0 1.4930 identifiable 1.4907 1.4947 identifiable 1.4922 1.4935 identifiable 1.4927 1.4931
log10r 2 -0.3069 identifiable -0.3106 -0.3025 identifiable -0.3069 -0.3069 identifiable -0.3073 -0.3065
log10G -2.8061 identifiable -2.8067 -2.8036 identifiable -2.8061 -2.8061 identifiable -2.8068 -2.8055