6533b835fe1ef96bd129eb3c

RESEARCH PRODUCT

Identification of Replicator Mutator models

P. FalugiLaura Giarre

subject

education.field_of_studyTheoretical computer sciencePopulationGenomicsPositive systemsBioinformaticsSet (abstract data type)Identification (information)virus populationsModels of DNA evolutionReplication (statistics)VirusesRNA VirusesEvolutionary dynamicseducationBiomedical systems; Evolutionary dynamics; Nonlinear systems; Positive systems; Uncertain dynamical systems;

description

The complexity of biology literally calls for quantitative tools in order to support and validate biologists intuition and traditional qualitative descriptions. In this paper, the Replicator-Mutator models for Evolutionary Dynamics are validated/invalidated in a worst-case deterministic setting. These models analyze the DNA and RNA evolution or describe the population dynamics of viruses and bacteria. We identify the Fitness and the Replication Probability parameters of a genetic sequences, subject to a set of stringent constraints to have physical meaning and to guarantee positiveness. The conditional central estimate is determined in order to validate/invalidate the model. The effectiveness of the proposed procedure has been illustrated by means of simulation experiments while tests on real data are under concern.

yearjournalcountryeditionlanguage
2006-06-01
10.1109/med.2006.328784http://hdl.handle.net/10447/32933