Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values
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Open Access
- 1 July 2003
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 19 (10) , 1236-1242
- https://doi.org/10.1093/bioinformatics/btg148
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 Contact: stanley.pounds@stjude.orgKeywords
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