Name
Title | ||
|---|---|---|
Validation and selection of ODE based systems biology models: how to arrive at more reliable decisions |
Abstract | ||
|---|---|---|
Most ordinary differential equation (ODE) based modeling studies in systems biology involve a hold-out validation step for model validation. In this framework a pre-determined part of the data is used as validation data and, therefore it is not used for estimating the parameters of the model. The model is assumed to be validated if the model predictions on the validation dataset show good agreement with the data. Model selection between alternative model structures can also be performed in the same setting, based on the predictive power of the model structures on the validation dataset. However, drawbacks associated with this approach are usually under-estimated. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s12918-015-0180-0 | BMC Systems Biology |
Keywords | Field | DocType |
Kinetic models, ODE, Differential equations, Model validation, Model selection, Cross validation, Hold-out validation | Differential equation,Data mining,Verification and validation of computer simulation models,Predictive power,Ordinary differential equation,Computer science,Model selection,Systems biology,Bioinformatics,Cross-validation,Ode | Journal |
Volume | Issue | ISSN |
9 | 1 | 1752-0509 |
Citations | PageRank | References |
2 | 0.38 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dicle Hasdemir | 1 | 5 | 0.76 |
| Huub C J Hoefsloot | 2 | 78 | 12.80 |
| Age K Smilde | 3 | 176 | 16.49 |