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) 1367-4811 (eISSN)

Vol. 30 10 1440-8

Areas 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

More information

Created

10/10/2017