Presentation 2003/6/19
Gene Expression Analysis and Feature Selection
Eisaku MAEDA,
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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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Committee PRMU
Conference Date 2003/6/19(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
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