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CDC
2015
IEEE

Identifying biochemical reaction networks from heterogeneous datasets

2 years 8 months ago
Identifying biochemical reaction networks from heterogeneous datasets
— 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.
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gon&cced
Added 18 Apr 2016
Updated 20 Apr 2016
Type Journal
Year 2015
Where CDC
Authors Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
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