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Table 6 Perturbation data for the models generated for the Cantone model F

From: Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks

  

Comp. to unperturbed network

Comp. to perturbed network

Perturbation

ANN

GRLOT

SS

ANN to GRLOT

ANN to SS

GRLOT to SS

CBF1

0.0045

1

1

1

0.951

0.461

0.337

 

0.0135

0.656

0.556

0.556

0.949

0.431

0.345

 

0.054

0.059

0.0397

0.0397

0.795

0.613

0.808

 

0.216

0.0035

0.0022

-

0.0072

-

-

GAL4

0.0324

1

1

1

0.951

0.461

0.337

 

0.0972

0.940

0.549

-

0.542

-

-

 

0.3888

0.059

0.0395

-

0.0606

-

-

 

1.5552

0.00025

0.0023

-

0.0052

-

-

SWI5

0.0075

1

1

1

0.951

0.461

0.337

 

0.0225

0.992

0.994

0.893

0.952

0.310

0.222

 

0.09

0.800

0.838

0.217

0.953

0.0672

0.0506

 

0.36

0.180

0.221

-

0.953

-

-

GAL80

0.0221

1

1

1

0.951

0.461

0.337

 

0.0663

0.541

0.498

0.371

0.930

0.555

0.545

 

0.2652

0.0208

0.0354

0.0192

0.915

0.581

0.545

 

1.0608

2.09e-05

0.0021

-

0.0022

-

-

ASH1

0.012

1

1

1

0.951

0.461

0.337

 

0.036

0.939

0.935

0.780

0.951

0.471

0.342

 

0.144

0.338

0.328

0.212

0.950

0.476

0.344

 

0.576

0.0272

0.0263

0.037

0.945

0.471

0.338

  1. Perturbation data for the models generated for the Cantone model F [19], based on the switch-on network only. The left hand set of results compares the perturbed network to the unperturbed network: they give an indication of how the perturbation has changed the network dynamics. The right hand set of results compares the perturbed networks across the three methods. The closer the values are to 1.0, the more similar the dynamics. The perturbations involve increasing the initial gene values by ×3, ×12, and by ×48.
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BMC Bioinformatics

ISSN: 1471-2105

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