Extraction of knowledge on protein-protein interaction by association rule discovery

T. Oyama, K. Kitano, K. Satou, T. Ito

研究成果: ジャーナルへの寄稿記事

68 引用 (Scopus)

抄録

Motivation: Protein-protein interactions are systematically examined using the yeast two-hybrid method. Consequently, a lot of protein-protein interaction data are currently being accumulated. Nevertheless, general information or knowledge on protein-protein interactions is poorly extracted from these data. Thus we have been trying to extract the knowledge from the protein-protein interaction data using data mining. Results: A data mining method is proposed to discover association rules related to protein-protein interactions. To evaluate the detected rules by the method, a new scoring measure of the rules is introduced. The method allowed us to detect popular interaction rules such as 'An SH3 domain binds to a proline-rich region.' These results indicate that the method may detect novel knowledge on protein-protein interactions.

元の言語英語
ページ(範囲)705-714
ページ数10
ジャーナルBioinformatics
18
発行部数5
DOI
出版物ステータス出版済み - 1 1 2002

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Association rules
Protein-protein Interaction
Association Rules
Proteins
Data Mining
Hybrid Method
Scoring
Yeast
Data mining
Knowledge
Two-Hybrid System Techniques
src Homology Domains
Evaluate
Interaction
Proline
Yeasts

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

これを引用

Extraction of knowledge on protein-protein interaction by association rule discovery. / Oyama, T.; Kitano, K.; Satou, K.; Ito, T.

:: Bioinformatics, 巻 18, 番号 5, 01.01.2002, p. 705-714.

研究成果: ジャーナルへの寄稿記事

Oyama, T. ; Kitano, K. ; Satou, K. ; Ito, T. / Extraction of knowledge on protein-protein interaction by association rule discovery. :: Bioinformatics. 2002 ; 巻 18, 番号 5. pp. 705-714.
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