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BMCBI
2004

Handling multiple testing while interpreting microarrays with the Gene Ontology Database

8 years 5 months ago
Handling multiple testing while interpreting microarrays with the Gene Ontology Database
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 simula...
Michael V. Osier, Hongyu Zhao, Kei-Hoi Cheung
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2004
Where BMCBI
Authors Michael V. Osier, Hongyu Zhao, Kei-Hoi Cheung
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