Bayesian, Likelihood-Free Modelling of Phenotypic Plasticity and Variability in Individuals and Populations.

ABSTRACT: There is a paradigm shift from the traditional focus on the "average" individual towards the definition and analysis of trait variation within individual life-history and among individuals in populations. This is a result of increasing availability of individual phenotypic data. The shift allows the use of genetic and environment-driven variations to assess robustness to challenge, gain greater understanding of organismal biological processes, or deliver individual-targeted treatments or genetic selection. These consequences apply, in particular, to variation in ontogenetic growth. We propose an approach to parameterise mathematical models of individual traits (e.g., reaction norms, growth curves) that address two challenges: 1) Estimation of individual traits while making minimal assumpti

SUBMITTER: Filipe JAN 

PROVIDER: S-EPMC6764410 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature