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• W1991008210 abstract "Detecting protein complexes from protein interaction networks is one major task in the postgenome era. Previous developed computational algorithms identifying complexes mainly focus on graph partition or dense region finding. Most of these traditional algorithms cannot discover overlapping complexes which really exist in the protein-protein interaction (PPI) networks. Even if some density-based methods have been developed to identify overlapping complexes, they are not able to discover complexes that include peripheral proteins. In this study, motivated by recent successful application of generative network model to describe the generation process of PPI networks and to detect communities from social networks, we develop a regularized sparse generative network model (RSGNM), by adding another process that generates propensities using exponential distribution and incorporating Laplacian regularizer into an existing generative network model, for protein complexes identification. By assuming that the propensities are generated using exponential distribution, the estimators of propensities will be sparse, which not only has good biological interpretation but also helps to control the overlapping rate among detected complexes. And the Laplacian regularizer will lead to the estimators of propensities more smooth on interaction networks. Experimental results on three yeast PPI networks show that RSGNM outperforms six previous competing algorithms in terms of the quality of detected complexes. In addition, RSGNM is able to detect overlapping complexes and complexes including peripheral proteins simultaneously. These results give new insights about the importance of generative network models in protein complexes identification." @default.
• W1991008210 created "2016-06-24" @default.
• W1991008210 creator A5050985047 @default.
• W1991008210 creator A5080609124 @default.
• W1991008210 creator A5088518917 @default.
• W1991008210 date "2012-05-01" @default.
• W1991008210 modified "2023-10-17" @default.
• W1991008210 title "Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model" @default.
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• W1991008210 doi "https://doi.org/10.1109/tcbb.2012.20" @default.
• W1991008210 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22291160" @default.
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