Machine learning and discovery for bioinformatics

Satoru Miyano, Ayumi Shinohara

研究成果: Conference contribution

抄録

This minitrack touches on the methods and strategies for learning and discovering new hidden knowledge in the natural sciences. This hidden knowledge means function of sequences and their structure, motif, common feature, mechanisms, etc. AI technologies and algorithmic paradigms may contribute to this purpose. Machine learning and discovery for bioinformatics copes with various kinds of problems raised by researchers with the help of AI technologies. There are six papers selected for evaluation, all touching on the topics about proteins and their sequences, database systems, algorithms, DNA sequences and high performance sequence analysis.

本文言語English
ホスト出版物のタイトルProceedings of the Hawaii International Conference on System Sciences
編集者Jay F. Nunamaker, Ralph H.Jr. Sprague
出版社Publ by IEEE
ページ111-112
ページ数2
ISBN(印刷版)0818650907
出版ステータスPublished - 1995 1月 1
外部発表はい
イベントProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
継続期間: 1994 1月 41994 1月 7

出版物シリーズ

名前Proceedings of the Hawaii International Conference on System Sciences
5
ISSN(印刷版)1060-3425

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period94/1/494/1/7

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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