CUED Publications database

Identifying biochemical reaction networks from heterogeneous datasets

Pan, W and Yuan, Y and Ljung, L and Goncalves, J and Stan, GB (2015) Identifying biochemical reaction networks from heterogeneous datasets. In: UNSPECIFIED pp. 2525-2530..

Full text not available from this repository.


In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reactions and kinetic parameters) from heterogeneous datasets. Such datasets can contain (a) data from several replicates of an experiment performed on a biological system; (b) data measured from a biochemical network subjected to different experimental conditions, for example, changes/perturbations in biological inductions, temperature, gene knock-out, gene over-expression, etc. Simultaneous integration of various datasets to perform system identification has the potential to avoid non-identifiability issues typically arising when only single datasets are used.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:45
Last Modified: 31 Aug 2021 08:07
DOI: 10.1109/CDC.2015.7402596