Generalized Association Rules for Connecting Biological Ontologies

Benites, Fernando; Sapozhnikova, Elena

Generalized Association Rules for Connecting Biological Ontologies

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2013

Autor:innen

Benites, Fernando

Sapozhnikova, Elena

URI (zitierfähiger Link)

http://nbn-resolving.de/urn:nbn:de:bsz:352-257592

Projekt

DAMIART

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

FERNANDES, Pedro, ed. and others. BIOINFORMATICS 2013 : proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms. [S.l.]: SciTePress, 2013, pp. 230-237. ISBN 978-989-8565-35-8

Zusammenfassung

The constantly increasing volume and complexity of available biological data requires new methods for Managing and analyzing them. An important challenge is the integration of information from different sources in order to discover possible hidden relations between already known data. In this paper we introduce a data mining approach which relates biological ontologies by mining generalized association rules connecting their categories. To select only the most important rules, we propose a new interestingness measure especially well-suited for hierarchically organized rules. To demonstrate this approach, we applied it to the bioinformatics domain and, more specifically, to the analysis of data from Gene Ontology, Cell type Ontology and GPCR databases. In this way found association rules connecting two biological ontologies can provide the user with new knowledge about underlying biological processes. The preliminary results show that produced rules represent meaningful and quite reliable associations among the ontologies and help infer new knowledge.

Fachgebiet (DDC)

004 Informatik

Konferenz

BIOINFORMATICS, 11. Feb. 2013 - 14. Feb. 2013, Barcelona, Spain

Zitieren

ISO 690

BENITES, Fernando, Elena SAPOZHNIKOVA, 2013. Generalized Association Rules for Connecting Biological Ontologies. BIOINFORMATICS. Barcelona, Spain, 11. Feb. 2013 - 14. Feb. 2013. In: FERNANDES, Pedro, ed. and others. BIOINFORMATICS 2013 : proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms. [S.l.]: SciTePress, 2013, pp. 230-237. ISBN 978-989-8565-35-8

BibTex

@inproceedings{Benites2013Gener-25759,
  year={2013},
  title={Generalized Association Rules for Connecting Biological Ontologies},
  isbn={978-989-8565-35-8},
  publisher={SciTePress},
  address={[S.l.]},
  booktitle={BIOINFORMATICS 2013 : proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms},
  pages={230--237},
  editor={Fernandes, Pedro},
  author={Benites, Fernando and Sapozhnikova, Elena}
}

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Universitätsbibliographie

Ja