Promoter recognition for E. coli DNA segments by independent component analysis

Yasuo Matsuyama*, Ryo Kawamura

*この研究の対応する著者

    研究成果: Conference contribution

    7 被引用数 (Scopus)

    抄録

    A new method for E. coli DNA segment classification on promoters and non-promoters is presented. The algorithm is based on the Independent Component Analysis (ICA). Since the DNA segments are composed of discrete symbols, this paper contains two major steps: (1) Position-dependent transformation of DNA segments to real number sequences, and (2) Applications of the ICA to the E. coli promoter recognition. These steps are related to each other. Therefore, algorithmic explanations are given in detail while referring mutually. The automatic precision of 93.7% is obtained. Since the presented method allows threshold adjustments, twilight-zone data can be further cross-checked individually so that false negatives are reduced.

    本文言語English
    ホスト出版物のタイトルProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
    ページ686-691
    ページ数6
    出版ステータスPublished - 2004
    イベントProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004 - Stanford, CA
    継続期間: 2004 8 162004 8 19

    Other

    OtherProceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
    CityStanford, CA
    Period04/8/1604/8/19

    ASJC Scopus subject areas

    • 工学(全般)

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