Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data

被引：246

作者：

Schadt, EE ^{[1
]}

Li, C

Ellis, B

Wong, WH

机构：

[1] Univ Calif Los Angeles, Dept Biomath, Los Angeles, CA 90024 USA

[2] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

[3] Harvard Univ, Dept Stat, Cambridge, England

[4] Rosetta Inpharmat, Dept Informat, Kirkland, WA USA

来源：

JOURNAL OF CELLULAR BIOCHEMISTRY | 2001年 / 84卷

关键词：

feature extraction; normalization; oligonucleotide array; gene expression;

D O I：

10.1002/jcb.10073

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Algorithms for performing feature extraction and normalization on high-density oligonucleotide gene expression arrays, have not been fully explored, and the impact these algorithms have on the downstream analysis is not well understood. Advances in such low-level analysis methods are essential to increase the sensitivity and specificity of detecting whether genes are present and/or differentially expressed. We have developed and implemented a number of algorithms for the analysis of expression array data in a software application, the DNA-Chip Analyzer (dChip). In this report, we describe the algorithms for feature extraction and normalization, and present validation data and comparison results with some of the algorithms currently in use. (C) 2002 Wiley-Liss, Inc.

引用

页码：120 / 125

页数：6

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