Presentation 2006-06-15
Normalization of DNA Microarray data with BIG Model Comparison
Takeo OKAZAKI, Madoka KAMIYA, Hitoshi AFUSO, Morikazu NAKAMURA,
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Abstract(in English) DNA Microarray data, which are efficient for estimation and identification of genetic network, have a large variation due to those experimental environment and measurement. Standardization by an appropriate bias correction is needed for the comparison and the data integration between two or more experiments. On grounds of normality of distribution in the ideal expression data, some adjustment methods that considers a specific bias for specific expression data has been proposed. In this research, after all combinations of assumed multiple biases and the adjustment methods were modeled, and the appropriate model by BIG was selected for normalization of expression data. The proposal method was applied to a yeast, mouse, and human microarray data from Stanford MicroArray Database, and the comparison experiment result with previous methods was shown so far.
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Keyword(in English) DNA Microarray / Gene Expression data / Normailization / BIC
Paper # NC2006-17
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Committee NC
Conference Date 2006/6/8(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Normalization of DNA Microarray data with BIG Model Comparison
Sub Title (in English)
Keyword(1) DNA Microarray
Keyword(2) Gene Expression data
Keyword(3) Normailization
Keyword(4) BIC
1st Author's Name Takeo OKAZAKI
1st Author's Affiliation Information Engineering, Fucalty of Engineering, University of the Ryukyus()
2nd Author's Name Madoka KAMIYA
2nd Author's Affiliation Information Engineering, Graduate School of Science and Engineering, University of the Ryukyus
3rd Author's Name Hitoshi AFUSO
3rd Author's Affiliation Information Engineering, Graduate School of Science and Engineering, University of the Ryukyus
4th Author's Name Morikazu NAKAMURA
4th Author's Affiliation Information Engineering, Fucalty of Engineering, University of the Ryukyus
Date 2006-06-15
Paper # NC2006-17
Volume (vol) vol.106
Number (no) 101
Page pp.pp.-
#Pages 6
Date of Issue