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Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules

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4 Author(s)
Dingding Wang ; Center for Comput. Sci., Univ. of Miami, Coral Gables, FL, USA ; Ogihara, M. ; Erliang Zeng ; Tao Li

Identifying functional modules from protein-protein interaction networks is an important and challenging task. This paper presents a new approach called PPIBM which is designed to integrate gene expression data analysis and clustering of protein-protein interactions. The proposed approach relies on a Bayesian model which uses as its base protein-protein interactions given as part of input. The proposed method is evaluated with standard measures and its performance is compared with the state-of-the-art network analysis methods. Experimental results on both real-world data and synthetic data demonstrate the effectiveness of the proposed approach.

Published in:

Machine Learning and Applications (ICMLA), 2012 11th International Conference on  (Volume:1 )

Date of Conference:

12-15 Dec. 2012