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- W2950943364 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." @default.
- W2950943364 created "2019-06-27" @default.
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- W2950943364 date "2015-09-17" @default.
- W2950943364 modified "2023-10-14" @default.
- W2950943364 title "Identifying Biochemical Reaction Networks From Heterogeneous Datasets" @default.
- W2950943364 doi "https://doi.org/10.48550/arxiv.1509.05153" @default.
- W2950943364 hasPublicationYear "2015" @default.
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