HAKKE: A Multi-Strategy Prediction System for Sequences

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DOI Technical Report || 129 || p1-10

http://www.i.kyushu-u.ac.jp/research/report.html

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Summary, etc.：: We developed a machine learning system HAKKE which is suitable for predicting functional regions from sequences, such as protein-coding region predict...

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Material Type: 文書・図像類
Title: HAKKE: A Multi-Strategy Prediction System for Sequences
Author/Editor: 古川, 直広
松本, 哲志
篠原, 歩
正代, 隆義
宮野, 悟
Author Heading: 古川, 直広
松本, 哲志
篠原, 歩
正代, 隆義
宮野, 悟
Publication, Distribution, etc.: Department of Informatics, Kyushu University
Publication Date: 1996-12
Publication Date (W3CDTF): 1996-12
Periodical title: DOI Technical Report
No. or year of volume/issue: 129
Volume: 129
Text Language Code: eng
Target Audience: 一般
Access Restrictions: インターネット公開
Related Material: DOI Technical Report || 129 || p1-10
http://www.i.kyushu-u.ac.jp/research/report.html
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 九州大学 : 九州大学学術情報リポジトリ