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Handling multiple testing while interpreting microarrays with the Gene Ontology Database

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dc.contributor.author Osier, Michael en_US
dc.contributor.author Zhao, Hongyu en_US
dc.contributor.author Cheung, Kei-Hoi en_US
dc.date.accessioned 2006-08-21T19:47:25Z en_US
dc.date.available 2006-08-21T19:47:25Z en_US
dc.date.issued 2004-09-06 en_US
dc.identifier.citation BMC Bioinformatics 5 (2004) 124-130 en_US
dc.identifier.issn 1471-2105 en_US
dc.identifier.uri http://hdl.handle.net/1850/2376 en_US
dc.description.abstract Background 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. Results We present the results from a preliminary study of the distribution one would expect for analyzing sets of genes extracted from Drosophila, S. cerevisiae, Wormbase, and Gramene databases using the Gene Ontology Database. Conclusions 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. en_US
dc.description.sponsorship This work is supported in part by NIH grant K25 HG02378 (KHC), by NIH grants T15 LM07056 and P20 LM07253 from the National Library of Medicine (MVO), by NSF grant DBI-0135442 (KHC), and by NSF grant DMS 0241160 (HYZ). en_US
dc.format.extent 37430 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.publisher BioMed Central: BMC Bioinformatics en_US
dc.subject Data processing en_US
dc.subject Gene ontology en_US
dc.subject Microarrays en_US
dc.title Handling multiple testing while interpreting microarrays with the Gene Ontology Database en_US
dc.type Article en_US
dc.identifier.url http://dx.doi.org/10.1186/1471-2105-5-124

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