Sloppiness: Fundamental study, new formalism and its application in model assessment.

ABSTRACT: Computational modelling of biological processes poses multiple challenges in each stage of the modelling exercise. Some significant challenges include identifiability, precisely estimating parameters from limited data, informative experiments and anisotropic sensitivity in the parameter space. One of these challenges' crucial but inconspicuous sources is the possible presence of large regions in the parameter space over which model predictions are nearly identical. This property, known as sloppiness, has been reasonably well-addressed in the past decade, studying its possible impacts and remedies. However, certain critical unanswered questions concerning sloppiness, particularly related to its quantification and practical implications in various stages of system identification, still preva

SUBMITTER: Jagadeesan P 

PROVIDER: S-EPMC9994762 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature