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Role-similarity based functional prediction in networked systems: application to the yeast proteome
2005 (Engelska)Ingår i: Journal of the Royal Society Interface, ISSN 1742-5689, E-ISSN 1742-5662, Vol. 2, nr 4, s. 327-333Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We propose a general method to predict functions of vertices where (i) the wiring of the network is somehow related to the vertex functionality and (ii) a fraction of the vertices are functionally classified. The method is influenced by role-similarity measures of social network analysis. The two versions of our prediction scheme axe tested on model networks where the functions of the vertices are designed to match their network surroundings. We also apply these methods to the proteome of the yeast Saccharomyces cerevisiae and find the results compatible with more specialized methods.

Ort, förlag, år, upplaga, sidor
2005. Vol. 2, nr 4, s. 327-333
Nyckelord [en]
functional prediction, complex networks, prediction algorithm, yeast proteome, protein functions, complex networks, alignments
Identifikatorer
URN: urn:nbn:se:kth:diva-15297DOI: 10.1098/rsif.2005.0046ISI: 000234342000006PubMedID: 16849190Scopus ID: 2-s2.0-33344474493OAI: oai:DiVA.org:kth-15297DiVA, id: diva2:333338
Anmärkning
QC 20100525Tillgänglig från: 2010-08-05 Skapad: 2010-08-05 Senast uppdaterad: 2020-03-09Bibliografiskt granskad

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Holme, Petter
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