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  Graph kernels for disease outcome prediction from protein-protein interaction networks

Borgwardt, K., Vishwanathan SVN, Schraudolph, N., & Kriegel, H.-P. (2007). Graph kernels for disease outcome prediction from protein-protein interaction networks. In Pacific Symposium on Biocomputing (PSB 2007) (pp. 4-15). Hackensack, NJ, USA: World Scientific.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CEF9-5 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CEFA-3
Genre: Konferenzbeitrag

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 Urheber:
Borgwardt, KM1, Autor           
Vishwanathan SVN, Schraudolph, N, Autor
Kriegel, H-P, Autor
Altman, Herausgeber
Dunker, R.B. A.K., Herausgeber
Hunter, L., Herausgeber
Murray, T., Herausgeber
Klein, T.E., Herausgeber
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Zusammenfassung: It is widely believed that comparing discrepancies in the protein-protein interaction (PPI) networks of individuals will become an important tool in understanding and preventing diseases. Currently PPI networks for individuals are not available, but gene expression data is becoming easier to obtain and allows us to represent individuals by a co-integrated gene expression/protein interaction network. Two major problems hamper the application of graph kernels – state-of-the-art methods for whole-graph comparison – to compare PPI networks. First, these methods do not scale to graphs of the size of a PPI network. Second, missing edges in these interaction networks are biologically relevant for detecting discrepancies, yet, these methods do not take this into account. In this article we present graph kernels for biological network comparison that are fast to compute and take into account missing interactions. We evaluate their practical performance on two datasets of co-integrated gene expression/PPI networks.

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 Datum: 2007-01
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: ISBN: 978-981-270417-7
URI: http://www.informatik.uni-trier.de/~ley/db/conf/psb/psb2007.html
BibTex Citekey: BorgwardtVSK2007
 Art des Abschluß: -

Veranstaltung

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Titel: Pacific Symposium on Biocomputing (PSB 2007)
Veranstaltungsort: Maui, Hawaii
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Titel: Pacific Symposium on Biocomputing (PSB 2007)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Hackensack, NJ, USA : World Scientific
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 4 - 15 Identifikator: -