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Article 45 of 244

Statistical tests for differential expression in cDNA microarray experiments
Cui XQ, Churchill GA
GENOME BIOLOGY

4 (4): art. no. 210 2003

Document type: Review

Language: English

Cited References: 37

Times Cited: 0

Abstract:
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.

KeyWords Plus:
FALSE DISCOVERY RATE, GENE-EXPRESSION, VARIANCE, DESIGN, MODELS

Addresses:
Churchill GA, Jackson Lab, 600 Main St, Bar Harbor, ME 04609 USA
Jackson Lab, Bar Harbor, ME 04609 USA

Publisher:
BIOMED CENTRAL LTD, LONDON

IDS Number:
675LK

ISSN:
1465-6914

Article 45 of 244

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