Detection of genes with tissue-specific expression patterns using Akaike's information criterion procedure

被引:40
作者
Kadota, K
Nishimura, SI
Bono, H
Nakamura, S
Hayashizaki, Y
Okazaki, Y
Takahashi, K
机构
[1] Natl Inst Adv Ind Sci & Technol, Computat Biol Res Ctr, Koto Ku, Tokyo 1350064, Japan
[2] RIKEN Yokohama Inst, RIKEN Genom Sci Ctr, Lab Genome Explorat Res Grp, Yokohama, Kanagawa 2300045, Japan
[3] Univ Tokyo, Dept Biotechnol, Tokyo 1138657, Japan
关键词
outlier detection; tissue-specific expression; DNA microarray; AIC; expression analysis;
D O I
10.1152/physiolgenomics.00153.2002
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
We applied a method based on Akaike's information criterion (AIC) to detect genes whose expression profile is considerably different in some tissue(s) than in others. Such observations are detected as outliers, and the method we used was originally developed to detect outliers. The main advantage of the method is that objective decisions are possible because the procedure is independent of a significance level. We applied the method to 48 expression ratios corresponding to various tissues in each of 14,610 clones obtained from the RIKEN Expression Array Database (READ; http://read.gsc.riken.go.jp). As a result, for several tissues (e. g., muscle, heart, and tongue tissues that contain similar cell types) we objectively obtained specific clones without any "thresholding." Our study demonstrates the feasibility of the method for detecting tissue-specific gene expression patterns.
引用
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页码:251 / 259
页数:9
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