Using ANOVA for gene selection from microarray studies of the nervous system

被引：98

作者：

Pavlidis, P

机构：

[1] Columbia Univ, Dept Biomed Informat, New York, NY 10032 USA

[2] Columbia Univ, Columbia Genome Ctr, New York, NY 10032 USA

来源：

METHODS | 2003年 / 31卷 / 04期

关键词：

analysis of variance; ANOVA; gene expression; microarray; statistics; differential expression;

D O I：

10.1016/S1046-2023(03)00157-9

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Methods are presented for detecting differential expression using statistical hypothesis testing methods including analysis of variance (ANOVA). Practicalities of experimental design, power, and sample size are discussed. Methods for multiple testing correction and their application are described. Instructions for running typical analyses are given in the R programming environment. R code and the sample data set used to generate the examples are available at http://microarray.cpmc.columbia.edu/pavlidis/pub/aovmethods/. (C) 2003 Elsevier Science (USA). All rights reserved.

引用

页码：282 / 289

页数：8

共 12 条

[1]

[Anonymous], 2000, ANAL VARIANCE

[2]

[Anonymous], GENOME BIOL

[3] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].