Combining gene expression profiles and protein-protein interactions for identifying functional modules

Dingding Wang, Mitsunori Ogihara, Erliang Zeng, Tao Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
Pages114-119
Number of pages6
Volume1
DOIs
StatePublished - 2012
Event11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012 - Boca Raton, FL, United States
Duration: Dec 12 2012Dec 15 2012

Other

Other11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012
CountryUnited States
CityBoca Raton, FL
Period12/12/1212/15/12

Fingerprint

Gene expression
Proteins
interaction
network analysis
data analysis
Electric network analysis
performance

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

Cite this

Wang, D., Ogihara, M., Zeng, E., & Li, T. (2012). Combining gene expression profiles and protein-protein interactions for identifying functional modules. In Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 (Vol. 1, pp. 114-119). [6406598] https://doi.org/10.1109/ICMLA.2012.28

Combining gene expression profiles and protein-protein interactions for identifying functional modules. / Wang, Dingding; Ogihara, Mitsunori; Zeng, Erliang; Li, Tao.

Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. Vol. 1 2012. p. 114-119 6406598.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, D, Ogihara, M, Zeng, E & Li, T 2012, Combining gene expression profiles and protein-protein interactions for identifying functional modules. in Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. vol. 1, 6406598, pp. 114-119, 11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012, Boca Raton, FL, United States, 12/12/12. https://doi.org/10.1109/ICMLA.2012.28
Wang D, Ogihara M, Zeng E, Li T. Combining gene expression profiles and protein-protein interactions for identifying functional modules. In Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. Vol. 1. 2012. p. 114-119. 6406598 https://doi.org/10.1109/ICMLA.2012.28
Wang, Dingding ; Ogihara, Mitsunori ; Zeng, Erliang ; Li, Tao. / Combining gene expression profiles and protein-protein interactions for identifying functional modules. Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. Vol. 1 2012. pp. 114-119
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