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Bioinformatics. 2003 Jul 1;19(10):1236-42.

Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values.

Author information

1
Department of Biostatistics, St. Jude Children's Research Hospital, 332 N. Lauderdale St., Memphis, TN 38105-2794, USA. stanley.pounds@stjude.org

Abstract

MOTIVATION:

The occurrence of false positives and false negatives in a microarray analysis could be easily estimated if the distribution of p-values were approximated and then expressed as a mixture of null and alternative densities. Essentially any distribution of p-values can be expressed as such a mixture by extracting a uniform density from it.

RESULTS:

The occurrence of false positives and false negatives in a microarray analysis could be easily estimated if the distribution of p-values were approximated and then expressed as a mixture of null and alternative densities. Essentially any distribution of p-values can be expressed as such a mixture by extracting a uniform density from it.

AVAILABILITY:

An S-plus function library is available from http://www.stjuderesearch.org/statistics.

PMID:
12835267
DOI:
10.1093/bioinformatics/btg148
[Indexed for MEDLINE]

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