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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