Study of Protein-Protein Interactions from Multiple Data Sources

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Author(s): Tu Bao Ho (Japan Advanced Institute of Science and Technology, Japan), Thanh Phuong Nguyen (Japan Advanced Institute of Science and Technology, Japan)and Tuan Nam Tran (Japan Advanced Institute of Science and Technology, Japan)
Copyright: 2008
Pages: 28
Source title: Data Mining and Knowledge Discovery Technologies
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)
DOI: 10.4018/978-1-59904-960-1.ch011

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

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Abstract

The objective of this paper is twofold. First is to provide a survey of computational methods for protein-protein interaction (PPI) study. Second is to introduce our work and results in using inductive logic programming to learn prediction rules for PPI and DDI (domain-domain interactions) from multiple data sources. We show advantages of ex-ploiting various types of data in these important problems of bioinformatics.

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Study of Protein-Protein Interactions from Multiple Data Sources

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