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Towards the uniform distribution of null P values on Affymetrix microarrays
Methods to control false-positive rates require that P values of genes that are not differentially expressed follow a uniform distribution. Commonly used microarray statistics can generate P values that do not meet this assumption. We show that poorly characterized variance, imperfect normalization,...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1929139/ https://www.ncbi.nlm.nih.gov/pubmed/17472745 http://dx.doi.org/10.1186/gb-2007-8-5-r69 |
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author | Fodor, Anthony A Tickle, Timothy L Richardson, Christine |
author_facet | Fodor, Anthony A Tickle, Timothy L Richardson, Christine |
author_sort | Fodor, Anthony A |
collection | PubMed |
description | Methods to control false-positive rates require that P values of genes that are not differentially expressed follow a uniform distribution. Commonly used microarray statistics can generate P values that do not meet this assumption. We show that poorly characterized variance, imperfect normalization, and cross-hybridization are among the many causes of this non-uniform distribution. We demonstrate a simple technique that produces P values that are close to uniform for nondifferentially expressed genes in control datasets. |
format | Text |
id | pubmed-1929139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19291392007-07-21 Towards the uniform distribution of null P values on Affymetrix microarrays Fodor, Anthony A Tickle, Timothy L Richardson, Christine Genome Biol Method Methods to control false-positive rates require that P values of genes that are not differentially expressed follow a uniform distribution. Commonly used microarray statistics can generate P values that do not meet this assumption. We show that poorly characterized variance, imperfect normalization, and cross-hybridization are among the many causes of this non-uniform distribution. We demonstrate a simple technique that produces P values that are close to uniform for nondifferentially expressed genes in control datasets. BioMed Central 2007 2007-05-01 /pmc/articles/PMC1929139/ /pubmed/17472745 http://dx.doi.org/10.1186/gb-2007-8-5-r69 Text en Copyright © 2007 Fodor et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Fodor, Anthony A Tickle, Timothy L Richardson, Christine Towards the uniform distribution of null P values on Affymetrix microarrays |
title | Towards the uniform distribution of null P values on Affymetrix microarrays |
title_full | Towards the uniform distribution of null P values on Affymetrix microarrays |
title_fullStr | Towards the uniform distribution of null P values on Affymetrix microarrays |
title_full_unstemmed | Towards the uniform distribution of null P values on Affymetrix microarrays |
title_short | Towards the uniform distribution of null P values on Affymetrix microarrays |
title_sort | towards the uniform distribution of null p values on affymetrix microarrays |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1929139/ https://www.ncbi.nlm.nih.gov/pubmed/17472745 http://dx.doi.org/10.1186/gb-2007-8-5-r69 |
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