Towards ad-hoc rule semantics for gene expression data

Marie Agier, Jean Marc Petit, Einoshin Suzuki

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional (or multivalued) dependencies in databases. Their syntax is the same but their semantics widely differs. In this article, we focus on semantics for which Armstrong's axioms are sound and complete. In this setting, we propose a unifying framework in which any "well-formed" semantics for rules may be integrated. We do not focus on the underlying data mining problems posed by the discovery of rules, rather we prefer to emphasize the expressiveness of our contribution in a particular domain of application: the understanding of gene regulatory networks from gene expression data. The key idea is that biologists have the opportunity to choose - among some predefined semantics - or to define the meaning of their rules which best fits into their requirements. Our proposition has been implemented and integrated into an existing open-source system named MeV of the TIGR environment devoted to microarray data interpretation.

本文言語英語
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ494-503
ページ数10
出版ステータス出版済み - 12 1 2005
外部発表はい
イベント15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005 - Saratoga Springs, NY, 米国
継続期間: 5 25 20055 28 2005

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3488 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005
Country米国
CitySaratoga Springs, NY
Period5/25/055/28/05

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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