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dc.contributor.authorOsier, Michaelen_US
dc.contributor.authorZhao, Hongyuen_US
dc.contributor.authorCheung, Kei-Hoien_US
dc.date.accessioned2006-08-21T19:47:25Zen_US
dc.date.available2006-08-21T19:47:25Zen_US
dc.date.issued2004-09-06en_US
dc.identifier.citationBMC Bioinformatics 5 (2004) 124-130en_US
dc.identifier.issn1471-2105en_US
dc.identifier.urihttp://hdl.handle.net/1850/2376en_US
dc.description.abstractBackground 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.sponsorshipThis 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.extent37430 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherBioMed Central: BMC Bioinformaticsen_US
dc.subjectData processingen_US
dc.subjectGene ontologyen_US
dc.subjectMicroarraysen_US
dc.titleHandling multiple testing while interpreting microarrays with the Gene Ontology Databaseen_US
dc.typeArticleen_US
dc.identifier.urlhttp://dx.doi.org/10.1186/1471-2105-5-124


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