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Abstract interpretation and types for systems biology

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2008 France English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 403, pages 52-70 (issn: 0304-3975, Copyright policy )
Authors: Fages, François; Soliman, Sylvain;

doi: 10.1016/j.tcs.2008.04.024

Abstract interpretation and types for systems biology

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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France
Related Organizations
Keywords

type inference, Markov chains, Markov chains * Corresponding author This article is an extended version of [19], Theory of programming languages, Semantics in the theory of computing, Email addresses: FrancoisFages@inriafr (François Fages), [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], SBML, Theoretical Computer Science, SylvainSoliman@inriafr (Sylvain Soliman), equations, ordinary differential equations, Hierarchy of semantics, Type inference, ordinary differential, Ordinary differential equations, hierarchy of semantics, Computer Science(all)

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
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!
49
Top 10%
Top 10%
Top 10%
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hybrid
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