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Genome Biol. 2003;4(6):R41. Epub 2003 May 29.

Statistical methods for ranking differentially expressed genes.

Author information

1
Molecular Sciences, AstraZeneca Research and Development Lund, S-221 87 Lund, Sweden. per.broberg@astrazeneca.com

Abstract

In the analysis of microarray data the identification of differential expression is paramount. Here I outline a method for finding an optimal test statistic with which to rank genes with respect to differential expression. Tests of the method show that it allows generation of top gene lists that give few false positives and few false negatives. Estimation of the false-negative as well as the false-positive rate lies at the heart of the method.

PMID:
12801415
PMCID:
PMC193620
DOI:
10.1186/gb-2003-4-6-r41
[Indexed for MEDLINE]
Free PMC Article

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