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Programming discrete distributions with chemical reaction networks

Abstract:

We explore the range of probabilistic behaviours that can be engineered with Chemical Reaction Networks (CRNs). We give methods to “program” CRNs so that their steady state is chosen from some desired target distribution that has finite support in Nm, with m ≥ 1. Moreover, any distribution with countable infinite support can be approximated with arbitrarily small error under the L1 norm. We also give optimized schemes for special distributions, including the uniform d...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1007/s11047-017-9667-5

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
Trinity College
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Royal Society More from this funder
Publisher:
Springer Netherlands Publisher's website
Journal:
Natural Computing Journal website
Volume:
17
Issue:
1
Pages:
131–145
Publication date:
2017-12-08
Acceptance date:
2017-11-29
DOI:
EISSN:
1572-9796
ISSN:
1567-7818
Pubs id:
pubs:809612
URN:
uri:7e6f1b5d-e4e3-4177-92a3-a70b14fdb778
UUID:
uuid:7e6f1b5d-e4e3-4177-92a3-a70b14fdb778
Local pid:
pubs:809612

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