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Determining interconnections in biochemical networks using linear programming.

Abstract:

We present a methodology for efficient, robust determination of the interaction topology of networked dynamical systems using time series data collected from experiments, under the assumption that these networks are sparse, i.e., have much less edges than the full graph with the same vertex set. To achieve this, we minimize the 1-norm of the decision variables while keeping the data in close Euler fit, thus putting more emphasis on determining the interconnection pattern rather than the close...

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Publication status:
Published

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Publisher copy:
10.1109/CDC.2008.4739286

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Roberts, MAJ More by this author
Jadbabaie, A More by this author
Publisher:
IEEE Publisher's website
Pages:
3311-3316
Publication date:
2008
DOI:
ISSN:
0191-2216
URN:
uuid:f2f52a7d-bf7f-494d-b1be-9e147985bf19
Source identifiers:
318841
Local pid:
pubs:318841
ISBN:
9781424431243

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