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arXiv · 1509.05153

Identifying Biochemical Reaction Networks From Heterogeneous Datasets

Wei Pan·Ye Yuan·Lennart Ljung·Jorge Goncalves·Guy-Bart Stan
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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.

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Wei Pan, Ye Yuan, Lennart Ljung, Jorge Goncalves, Guy-Bart Stan. 2015-09-17. Identifying Biochemical Reaction Networks From Heterogeneous Datasets. https://arxiv.org/abs/1509.05153

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