publication . Conference object . Preprint . 2015

Identifying biochemical reaction networks from heterogeneous datasets

Pan, Wei; Yuan, Ye; Ljung, Lennart; Goncalves, Jorge; Stan, Guy-Bart;
Open Access
  • Published: 01 Dec 2015
  • Publisher: IEEE
Abstract
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.
Subjects
free text keywords: : Electrical & electronics engineering [C06] [Engineering, computing & technology], : Ingénierie électrique & électronique [C06] [Ingénierie, informatique & technologie], Bioinformatics, Synthetic biology, Biological system, Biochemical network, Computer science, System identification, Mathematical optimization, Computer Science - Systems and Control
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publication . Conference object . Preprint . 2015

Identifying biochemical reaction networks from heterogeneous datasets

Pan, Wei; Yuan, Ye; Ljung, Lennart; Goncalves, Jorge; Stan, Guy-Bart;