Grammatical inference in bioinformatics

研究成果: Article査読

51 被引用数 (Scopus)

抄録

Bioinformatics is an active research area aimed at developing intelligent systems for analyses of molecular biology. Many methods based on formal language theory, statistical theory, and learning theory have been developed for modeling and analyzing biological sequences such as DNA, RNA, and proteins. Especially, grammatical inference methods are expected to find some grammatical structures hidden in biological sequences. In this article, we give an overview of a series of our grammatical approaches to biological sequence analyses and related researches and focus on learning stochastic grammars from biological sequences and predicting their functions based on learned stochastic grammars.

本文言語English
ページ(範囲)1051-1062
ページ数12
ジャーナルIEEE Transactions on Pattern Analysis and Machine Intelligence
27
7
DOI
出版ステータスPublished - 2005 7

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 計算理論と計算数学
  • 人工知能
  • 応用数学

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