Comparison of approaches for parameter identifiability analysis of biological systems.
Artikel i vetenskaplig tidskrift, 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
Författare
Andreas Raue
Johan Karlsson
Maria Pia Saccomani
Mats Jirstrand
Jens Timmer
Bioinformatics
1367-4803 (ISSN) 13674811 (eISSN)
Vol. 30 10 1440-8Styrkeområden
Informations- och kommunikationsteknik
Livsvetenskaper och teknik (2010-2018)
Ämneskategorier
Beräkningsmatematik
Fundament
Grundläggande vetenskaper
DOI
10.1093/bioinformatics/btu006
PubMed
24463185