Handling multiple testing while interpreting microarrays with the Gene Ontology Database

<p>Abstract</p> <p>Background</p> <p>The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different methods. A common problem for many of these tools is how to correct...

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Main Authors: Zhao Hongyu, Osier Michael V, Cheung Kei-Hoi
Format: Article
Language:English
Published: BMC 2004-09-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/5/124
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author Zhao Hongyu
Osier Michael V
Cheung Kei-Hoi
author_facet Zhao Hongyu
Osier Michael V
Cheung Kei-Hoi
author_sort Zhao Hongyu
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different methods. A common problem for many of these tools is how to correct for multiple statistical testing since simple corrections are overly conservative and more sophisticated corrections are currently impractical. A careful study of the nature of the distribution one would expect by chance, such as by a simulation study, may be able to guide the development of an appropriate correction that is not overly time consuming computationally.</p> <p>Results</p> <p>We present the results from a preliminary study of the distribution one would expect for analyzing sets of genes extracted from <it>Drosophila</it>, <it>S. cerevisiae</it>, Wormbase, and Gramene databases using the Gene Ontology Database.</p> <p>Conclusions</p> <p>We found that the estimated distribution is not regular and is not predictable outside of a particular set of genes. Permutation-based simulations may be necessary to determine the confidence in results of such analyses.</p>
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spelling doaj.art-36ec8fe1181c4aff8c7c03b23120e5a42022-12-22T02:48:56ZengBMCBMC Bioinformatics1471-21052004-09-015112410.1186/1471-2105-5-124Handling multiple testing while interpreting microarrays with the Gene Ontology DatabaseZhao HongyuOsier Michael VCheung Kei-Hoi<p>Abstract</p> <p>Background</p> <p>The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different methods. A common problem for many of these tools is how to correct for multiple statistical testing since simple corrections are overly conservative and more sophisticated corrections are currently impractical. A careful study of the nature of the distribution one would expect by chance, such as by a simulation study, may be able to guide the development of an appropriate correction that is not overly time consuming computationally.</p> <p>Results</p> <p>We present the results from a preliminary study of the distribution one would expect for analyzing sets of genes extracted from <it>Drosophila</it>, <it>S. cerevisiae</it>, Wormbase, and Gramene databases using the Gene Ontology Database.</p> <p>Conclusions</p> <p>We found that the estimated distribution is not regular and is not predictable outside of a particular set of genes. Permutation-based simulations may be necessary to determine the confidence in results of such analyses.</p>http://www.biomedcentral.com/1471-2105/5/124
spellingShingle Zhao Hongyu
Osier Michael V
Cheung Kei-Hoi
Handling multiple testing while interpreting microarrays with the Gene Ontology Database
BMC Bioinformatics
title Handling multiple testing while interpreting microarrays with the Gene Ontology Database
title_full Handling multiple testing while interpreting microarrays with the Gene Ontology Database
title_fullStr Handling multiple testing while interpreting microarrays with the Gene Ontology Database
title_full_unstemmed Handling multiple testing while interpreting microarrays with the Gene Ontology Database
title_short Handling multiple testing while interpreting microarrays with the Gene Ontology Database
title_sort handling multiple testing while interpreting microarrays with the gene ontology database
url http://www.biomedcentral.com/1471-2105/5/124
work_keys_str_mv AT zhaohongyu handlingmultipletestingwhileinterpretingmicroarrayswiththegeneontologydatabase
AT osiermichaelv handlingmultipletestingwhileinterpretingmicroarrayswiththegeneontologydatabase
AT cheungkeihoi handlingmultipletestingwhileinterpretingmicroarrayswiththegeneontologydatabase