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A statistical approach using network structure in the prediction of protein characteristics

Abstract:

Motivation: The Majority Vote approach has demonstrated that protein-protein interactions can be used to predict the structure or function of a protein. In this article we propose a novel method for the prediction of such protein characteristics based on frequencies of pairwise interactions. In addition, we study a second new approach using the pattern frequencies of triplets of proteins, thus for the first time taking network structure explicitly into account. Both these methods are extended...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1093/bioinformatics/btm342

Authors


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Institution:
University of Oxford
Research group:
Oxford Protein Informatics Group
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Research group:
Oxford Protein Informatics Group
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author
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Grant:
FP6-2003-BEST-Path-012999
Publisher:
Oxford University Press Publisher's website
Journal:
Bioinformatics Journal website
Volume:
23
Issue:
17
Pages:
2314-2321
Publication date:
2007-09-05
DOI:
EISSN:
1460-2059
ISSN:
1367-4803
URN:
uuid:8c56a631-8d05-442e-9a62-691f261aa5bc
Local pid:
ora:1811

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