Statistical tests for differential expression in cDNA microarray experiments

被引：637

作者：

Cui, XQ ^{[1
]}

Churchill, GA ^{[1
]}

机构：

[1] Jackson Lab, Bar Harbor, ME 04609 USA

来源：

GENOME BIOLOGY | 2003年 / 4卷 / 04期

关键词：

D O I：

10.1186/gb-2003-4-4-210

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance ( ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation.

引用

页数：10

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