14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThSP1.1

Crampin, Edmund (University of Auckland)

System Identification Challenges from Systems Biology

Scheduled for presentation during the Semi-Plenary Session "Semi-Plenary III" (ThSP1), Thursday, March 30, 2006, 14:00−15:00, Concert Hall

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Biological Systems, Nonlinear System Identification


Systems biology is the understanding through computational modelling of the function of biological systems. New high-throughput experimental technologies can measure simultaneously the levels of expression of thousands of genes. The challenge is to extract knowledge from these data sets in order to understand the regulatory machinery of the cell. This talk describes recent approaches to gene network modelling, focusing on the issues arising in the attempt to identify regulatory networks directly from high-throughput gene expression data.