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Prediction of protein-protein interaction types using association rule based classification
Authors:Sung Hee Park   José A Reyes   David R Gilbert   Ji Woong Kim  Sangsoo Kim
Affiliation:(1) Department of Bioinformatics & Life Science, Soongsil University, 156-743 Seoul, Korea;(2) School of Information Systems,Computing and Mathematics,Brunel University, UB8 3PH Uxbridge, UK;(3) Facultad de Ingenier?a,Universidad de Talca, Talca, Chile;(4) Equispharm Co., Ltd, 443-766 Seoul, Korea
Abstract:

Background  

Protein-protein interactions (PPI) can be classified according to their characteristics into, for example obligate or transient interactions. The identification and characterization of these PPI types may help in the functional annotation of new protein complexes and in the prediction of protein interaction partners by knowledge driven approaches.
Keywords:
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