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Title:
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ASSESSMENT OF GENE ONTOLOGY BASED RECOGNITION OF RELATED PROTEINS |
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Author(s):
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Fernando Garcia , Luis Adarve , Francisco J. Lopez , Armando Blanco |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Kernel, Clustering, Protein Recognition, Gene Ontology |
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Type:
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Full Paper |
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First Page:
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179 |
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Last Page:
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187 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Classification of proteins is one of the main goals in structural and functional genomics. Detection of protein families
provides insights into their structure, activity and metabolic role. Gene Ontology (GO) provides a structured, controlled
vocabulary for describing genes and gene products roles in organisms. In this paper, we present a novel approach that
uses the information contained in GO itself to achieve protein family classification by means of similarity measures
defined over GO and clustering methods. We show that our approach is able to separate protein families obtained by
homology, expression levels and classifications according to other ontologies. Best results are provided when kernel
cmeans clustering is used. |
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