Presentation | 2001/10/11 Prediction of protein localization sites by a support vector machine Taku Yoshioka, Shin Ishii, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Proteins are synthesized from DNA through the processes of transcription and translation. After the synthesis, the proteins must be localized to appropriate sites in the cell, e.g., the nucleus, prasma membrane and organelles. This is the protein localization. Localization site of a protein depends on the amino acid sequence. We can get insigths about the function of a protein by predicting the localization site from the amino acid sequence. Prediction of protein localization sites is formalized as a pattern classification problem. In this study, we apply a support vector machine to predict localization sites of proteins based on their amino acid sequences. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | protein localization / support vector machine / pattern classification / localization signal / amino acid composition |
Paper # | PRMU2001-107,NC2001-57 |
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Committee | PRMU |
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Conference Date | 2001/10/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Prediction of protein localization sites by a support vector machine |
Sub Title (in English) | |
Keyword(1) | protein localization |
Keyword(2) | support vector machine |
Keyword(3) | pattern classification |
Keyword(4) | localization signal |
Keyword(5) | amino acid composition |
1st Author's Name | Taku Yoshioka |
1st Author's Affiliation | Nara Institute of Science and Technology() |
2nd Author's Name | Shin Ishii |
2nd Author's Affiliation | Nara Institute of Science and Technology |
Date | 2001/10/11 |
Paper # | PRMU2001-107,NC2001-57 |
Volume (vol) | vol.101 |
Number (no) | 362 |
Page | pp.pp.- |
#Pages | 8 |
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