Presentation | 2003/6/19 Gene Expression Analysis and Feature Selection Eisaku MAEDA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With various genome projects underway, a great deal of experimental and textual data on living organisms is being accumulated at reckless speed. Advanced algorithms and techniques that can retrieve and extract the key information from these data more adequately are important and urgently needed. These subject in bioinfomatics could be solved using natural language processing, machine learning, and pattern recognition techniques. In this paper, I am focusing DNA expression analysis, and describe present status in this fields and problems to be solved. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gene / DNA / Expression Analysis / Machine Learning / Pattern Recognition / Feature Selection / Gene Selection / DNA Microarray / DNA Chip |
Paper # | PRMU2003-37 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2003/6/19(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Gene Expression Analysis and Feature Selection |
Sub Title (in English) | |
Keyword(1) | Gene |
Keyword(2) | DNA |
Keyword(3) | Expression Analysis |
Keyword(4) | Machine Learning |
Keyword(5) | Pattern Recognition |
Keyword(6) | Feature Selection |
Keyword(7) | Gene Selection |
Keyword(8) | DNA Microarray |
Keyword(9) | DNA Chip |
1st Author's Name | Eisaku MAEDA |
1st Author's Affiliation | NTT Communication Sciecne Laboratories() |
Date | 2003/6/19 |
Paper # | PRMU2003-37 |
Volume (vol) | vol.103 |
Number (no) | 150 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |