Reference : An introduction to uncertainty in the development of computational models of biologic...
Parts of books : Contribution to collective works
Engineering, computing & technology : Multidisciplinary, general & others
An introduction to uncertainty in the development of computational models of biological processes
Geris, Liesbet mailto [Université de Liège > Département d'aérospatiale et mécanique > Génie biomécanique >]
Gomez-Cabrero, David []
Modeling under uncertainty: a computational modeling approach
[en] This chapter aims to provide an introduction to the different ways in which uncertainty can be dealt with computational modelling of biological processes. The first step is model establishment under uncertainty. Once models have been established, data can further be used to select which of the proposed models best meets the predefined criteria. Subsequently, parameter values can be optimized for a specific model configuration. Sensitivity analyses allow to assess the influence of the previous choices on the model output. Additionally, model adaptation permits to focus on specific aspects of the model without losing its global predictive capacity. Finally, predictions with the established models should also consider the effect of uncertainty in the model development process.
FP7 ; 279100 - BRIDGE - Biomimetic process design for tissue regeneration: from bench to bedside via in silico modelling

File(s) associated to this reference

Fulltext file(s):

Open access
Chapter_1_2015_04 (2)_LG.pdfAuthor preprint302.13 kBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.