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Protein Subcellular Location Prediction Using Principal Component Analysis
https://ipsj.ixsq.nii.ac.jp/records/92670
https://ipsj.ixsq.nii.ac.jp/records/926702e8badba-29bf-4613-830d-f5bb547b6bd6
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-BIO13034028.pdf (311.3 kB)
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Copyright (c) 2013 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2013-06-20 | |||||||
| タイトル | ||||||||
| タイトル | Protein Subcellular Location Prediction Using Principal Component Analysis | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Protein Subcellular Location Prediction Using Principal Component Analysis | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | 合同企画セッション：バイオデータマイニング | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| Department of Physics, Chuo University | ||||||||
| 著者所属 | ||||||||
| Department of Physics, Chuo University | ||||||||
| 著者所属 | ||||||||
| Department of Physics, Chuo University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Department of Physics, Chuo University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Department of Physics, Chuo University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Department of Physics, Chuo University | ||||||||
| 著者名 |
Daichi, Nogami
Yuuichi, Nakano
Y-H.Taguchi
× Daichi, Nogami Yuuichi, Nakano Y-H.Taguchi
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| 著者名(英) |
Daichi, Nogami
Yuuichi, Nakano
Y-H., Taguchi
× Daichi, Nogami Yuuichi, Nakano Y-H., Taguchi
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Inference of subcellular location only using sequence information is important. In this paper, we proposed the application of principal component analysis-based linear discriminant analysis for subcellular location information. It achieved the performance of Area Under the Curve under Receiver Operating Characteristic curve mostly more than 0.95 if less than 80% sequence identity non-redundancy was applied. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Inference of subcellular location only using sequence information is important. In this paper, we proposed the application of principal component analysis-based linear discriminant analysis for subcellular location information. It achieved the performance of Area Under the Curve under Receiver Operating Characteristic curve mostly more than 0.95 if less than 80% sequence identity non-redundancy was applied. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA12055912 | |||||||
| 書誌情報 |
研究報告バイオ情報学（BIO） 巻 2013-BIO-34, 号 28, p. 1-2, 発行日 2013-06-20 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
