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Bioinformatics Vol. 19 no. 10 2003
Pages 1236-1242
© 2003 Oxford University Press

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

Stan Pounds 1,* and Stephan W. Morris 2

1 Department of Biostatistics
2 Departments of Pathology and Hematology/Oncology, St. Jude Children’s Research Hospital, 332 N. Lauderdale St., Memphis, TN 38105-2794, USA

Received on October 18, 2002 ; revised on January 10, 2003 ; accepted on January 22, 2003

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

Contact: stanley.pounds{at}stjude.org

* To whom correspondence should be addressed.


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