Scripts that reproduce the Uncertainty Quantification results presented in the associated paper. Four case studies, each of them consisting of an ODE model and simulated data, are considered. The ZIP file includes models, scripts, and results
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Quantification of prediction uncertainty is an important consideration when using mathematical model...
Scripts that reproduce the results presented in the paper "Assessment of Prediction Uncertainty Quan...
Biological processes are often modelled using ordinary differential equations. The unknown parameter...
Biological processes are often modelled using ordinary differential equations. The unknown parameter...
The parameters of dynamical models of biological processes always possess some degree of uncertainty...
7 pages, 4 figures, 2 tablesThe parameters of dynamical models of biological processes always posses...
Financiado para publicación en acceso aberto: Universidade de Vigo/CISUGBiological processes are oft...
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of...
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of...
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Quantification of prediction uncertainty is an important consideration when using mathematical model...
Scripts that reproduce the results presented in the paper "Assessment of Prediction Uncertainty Quan...
Biological processes are often modelled using ordinary differential equations. The unknown parameter...
Biological processes are often modelled using ordinary differential equations. The unknown parameter...
The parameters of dynamical models of biological processes always possess some degree of uncertainty...
7 pages, 4 figures, 2 tablesThe parameters of dynamical models of biological processes always posses...
Financiado para publicación en acceso aberto: Universidade de Vigo/CISUGBiological processes are oft...
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of...
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of...
Multi-parameter models in systems biology are typically ‘sloppy’: some parameters or combinations of...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Motivation: To further our understanding of the mechanisms underlying biochemical pathways mathemati...
Quantification of prediction uncertainty is an important consideration when using mathematical model...