Improving dynamic predictions with ensembles of observable models.

ABSTRACT:

Motivation

Dynamic mechanistic modelling in systems biology has been hampered by the complexity and variability associated with the underlying interactions, and by uncertain and sparse experimental measurements. Ensemble modelling, a concept initially developed in statistical mechanics, has been introduced in biological applications with the aim of mitigating those issues. Ensemble modelling uses a collection of different models compatible with the observed data to describe the phenomena of interest. However, since systems biology models often suffer from a lack of identifiability and observability, ensembles of models are particularly unreliable when predicting non-observable states.

Results

We present a strategy to assess and improve the reliability of a class of model ens

SUBMITTER: Massonis G 

PROVIDER: S-EPMC9805594 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature