6533b7d9fe1ef96bd126c223
RESEARCH PRODUCT
Set Membership (In) Validation of nonlinear positive models for biological systems
Laura GiarreP. Falugisubject
education.field_of_studyNonlinear systembusiness.industryModels of DNA evolutionPopulationArtificial intelligenceBioinformaticsbusinessMachine learningcomputer.software_genreeducationcomputerIntuitiondescription
The complexity of biology needs quantitative tools in order to support and validate biologists intuition and traditional qualitative descriptions. In this paper, Nonlinear Positive models with constraints for biological systems are validated/invalidated in a worst-case deterministic setting. These models are usefull for the analysis of the DNA and RNA evolution and for the description of the population dynamics of viruses and bacteria. The conditional central estimate and the Uncertainty Intervals are determined in order to validate/invalidate the model. The effectiveness of the proposed procedure has been illustrated by means of simulation experiments.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-01-01 |