Title

Recent Advances in Clustering Methods for Protein Interaction Networks

Authors

Jianxin WangFollow
Min LiFollow
Youping Deng
Yi Pan, Georgia State UniversityFollow

Document Type

Article

Publication Date

2010

Abstract

The increasing availability of large-scale protein-protein interaction data has made it possible to understand the basic components and organization of cell machinery from the network level. The arising challenge is how to analyze such complex interacting data to reveal the principles of cellular organization, processes and functions. Many studies have shown that clustering protein interaction network is an effective approach for identifying protein complexes or functional modules, which has become a major research topic in systems biology. In this review, recent advances in clustering methods for protein interaction networks will be presented in detail. The predictions of protein functions and interactions based on modules will be covered. Finally, the performance of different clustering methods will be compared and the directions for future research will be discussed.

Comments

This article was originally published in the journal BMC Genomics.

© 2010 Wang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Recommended Citation

Wang et al.: Recent advances in clustering methods for protein interaction networks. BMC Genomics 2010 11(Suppl 3):S10. doi: 10.1186/1471-2164-11-S3-S10

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License.