6533b7ddfe1ef96bd12749e4
RESEARCH PRODUCT
Identification and validation of quasispecies models for biological systems
P. FalugiLaura Giarresubject
IdentificationGeneral Computer ScienceBasis (linear algebra)Systems Biology; Identification; Validation; Set MembershipComputer scienceSystems BiologyMechanical EngineeringSystems biologySystem identificationBilinear interpolationViral quasispeciesInterval (mathematics)Set MembershipSystems Biology Identification Validation Set MembershipSet (abstract data type)Identification (information)Settore ING-INF/04 - AutomaticaControl and Systems EngineeringValidationElectrical and Electronic EngineeringAlgorithmdescription
An identification procedure for biological systems cast as quasi-species models is proposed. Their identification is a challenging problem because of the bilinear dependence on the parameters and their physical constraints. The proposed solution is within the framework of set-membership identification. %The bilinear dependence on parameters of the model and their physical constraints make the present issue challenging. We determine an estimate of the model parameters together with their interval of variability (Uncertainty Intervals), taking into account all the physical constraints. Invalidation/validation is performed on the basis of the predictive capability of the estimated models. The effectiveness of the proposed procedure has been illustrated by means of simulation experiments.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-07-01 |