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Identification of Exon-Intron Boundary by Hidden Markov Model and Evaluation with the Human Genome
http://hdl.handle.net/10458/400
http://hdl.handle.net/10458/40073ae51a0-f668-41ed-8a31-14fedf9e24c2
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2007-06-28 | |||||
タイトル | ||||||
タイトル | Identification of Exon-Intron Boundary by Hidden Markov Model and Evaluation with the Human Genome | |||||
言語 | ja | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Hidden Markov Model, Log Likelihood, the Human Genome | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
その他(別言語等)のタイトル | ||||||
その他のタイトル | Identification of Exon-Intron Boundary by Hidden Markov Model and Evaluation with the Human Genome | |||||
言語 | en | |||||
著者 |
Arimura, Kazuhiko
× Arimura, Kazuhiko× Yoshihara, Ikuo× 山森, 一人 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Abstract It is important clarifying the function of the gene to extract exon, because exon is translated into the protein. In this laboratory has worked on the research of an automatic extraction of exon by using genetic programming (GP) and neural net work (NN). In this research, it has automatic of exon of human genome extracted it by using HMM as a comparison technique with these techniques. As a result, the identification accuracy of GT boundary became 90.7% and the identification accuracy in the AG boundary became 84.8%. Moreover, the comparison verification was done with HMM, GP, and NN. |
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言語 | en | |||||
書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 34, p. 269-274, 発行日 2005-08 |
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出版者 | ||||||
出版者 | 宮崎大学工学部 | |||||
言語 | ja | |||||
出版者 | ||||||
出版者 | Faculty of Engineering, University of Miyazaki | |||||
言語 | en | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 05404924 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA00732558 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |