Combining Model Reductions

Lade...
Vorschaubild
Dateien
Camporesi_2-m9zzw1bc6grt8.pdf
Camporesi_2-m9zzw1bc6grt8.pdfGröße: 630.1 KBDownloads: 204
Datum
2010
Autor:innen
Camporesi, Ferdinanda
Feret, Jérôme
Koeppl, Heinz
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Electronic Notes in Theoretical Computer Science. 2010, 265, pp. 73-96. ISSN 1571-0661. Available under: doi: 10.1016/j.entcs.2010.08.006
Zusammenfassung

Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge number of distinct chemical species (i.e. non-isomorphic connected components of proteins). Thus we cannot generate explicitly the quantitative semantics of these models, and even less compute their properties. Model reduction aims at reducing this complexity by providing another grain of observation. In this paper, we propose two unifying frameworks for combining model reductions: we propose a symmetric product operator for combining model reductions for stochastic semantics and we show how to abstract further existing reduced differential systems by the means of linear projections. We apply both frameworks so as to abstract further existing reduced quantitative semantics of the models that are written in Kappa, by taking into account symmetries among binding sites in proteins.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
rules-based modeling, model reduction, abstract interpretation, symmetries
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690CAMPORESI, Ferdinanda, Jérôme FERET, Heinz KOEPPL, Tatjana PETROV, 2010. Combining Model Reductions. In: Electronic Notes in Theoretical Computer Science. 2010, 265, pp. 73-96. ISSN 1571-0661. Available under: doi: 10.1016/j.entcs.2010.08.006
BibTex
@article{Camporesi2010Combi-42227,
  year={2010},
  doi={10.1016/j.entcs.2010.08.006},
  title={Combining Model Reductions},
  volume={265},
  issn={1571-0661},
  journal={Electronic Notes in Theoretical Computer Science},
  pages={73--96},
  author={Camporesi, Ferdinanda and Feret, Jérôme and Koeppl, Heinz and Petrov, Tatjana}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42227">
    <dc:contributor>Koeppl, Heinz</dc:contributor>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/3.0/"/>
    <dc:contributor>Petrov, Tatjana</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-05-02T08:10:35Z</dcterms:available>
    <dcterms:title>Combining Model Reductions</dcterms:title>
    <dcterms:abstract xml:lang="eng">Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge number of distinct chemical species (i.e. non-isomorphic connected components of proteins). Thus we cannot generate explicitly the quantitative semantics of these models, and even less compute their properties. Model reduction aims at reducing this complexity by providing another grain of observation. In this paper, we propose two unifying frameworks for combining model reductions: we propose a symmetric product operator for combining model reductions for stochastic semantics and we show how to abstract further existing reduced differential systems by the means of linear projections. We apply both frameworks so as to abstract further existing reduced quantitative semantics of the models that are written in Kappa, by taking into account symmetries among binding sites in proteins.</dcterms:abstract>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-05-02T08:10:35Z</dc:date>
    <dc:creator>Koeppl, Heinz</dc:creator>
    <dc:language>eng</dc:language>
    <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Unported</dc:rights>
    <dc:contributor>Feret, Jérôme</dc:contributor>
    <dc:creator>Petrov, Tatjana</dc:creator>
    <dc:creator>Feret, Jérôme</dc:creator>
    <dc:contributor>Camporesi, Ferdinanda</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/42227/1/Camporesi_2-m9zzw1bc6grt8.pdf"/>
    <dc:creator>Camporesi, Ferdinanda</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/42227/1/Camporesi_2-m9zzw1bc6grt8.pdf"/>
    <dcterms:issued>2010</dcterms:issued>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/42227"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen