Comparison of approaches for parameter identifiability analysis of biological systems.
Journal article, 2014
Modeling of dynamical systems using ordinary differential equations is a popular approach in the field of Systems Biology. The amount of experimental data that are used to build and calibrate these models is often limited. In this setting, the model parameters may not be uniquely determinable. Structural or a priori identifiability is a property of the system equations that indicates whether, in principle, the unknown model parameters can be determined from the available data.
Tumor
Neoplastic
pharmacology
RNA
Lymphoma
Messenger
Models
genetics
Humans
Gene Expression Regulation
Interleukin-13
methods
Cell Line
biosynthesis
Systems Biology
Biological
Research Design
Author
Andreas Raue
Johan Karlsson
Maria Pia Saccomani
Mats Jirstrand
Jens Timmer
Bioinformatics
1367-4803 (ISSN) 13674811 (eISSN)
Vol. 30 10 1440-8Areas of Advance
Information and Communication Technology
Life Science Engineering (2010-2018)
Subject Categories
Computational Mathematics
Roots
Basic sciences
DOI
10.1093/bioinformatics/btu006
PubMed
24463185