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Biological Transactions for Quantitative Models

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2007 Italy English Publisher:Elsevier BVJournal:Electronic Notes in Theoretical Computer Science, volume 171, pages 55-67 (issn: 1571-0661, Copyright policy )
Authors: F. Ciocchetta; C. Priami;

doi: 10.1016/j.entcs.2007.05.007

handle: 11572/69752 , 11568/881801

Biological Transactions for Quantitative Models

Abstract

AbstractIn this work an extension of stochastic π-calculus with biological transactions is presented. This permits to model multi-reactant multi-product reactions as atomic actions when quantitative information are given. First, the syntax and the semantics are defined, then some transaction properties are discussed. Finally, some examples are described.

Country
Italy
Related Organizations
Keywords

biological transactions, General Computer Science, Systems Biology, stochastic π-calculus, Theoretical Computer Science, Computer Science(all)

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Top 10%
Green
gold