Improving Identification of Differentially Expressed Genes in Microarray Studies Using Information From Public Databases

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Improving Identification of Differentially Expressed Genes in Microarray Studies Using Information From Public Databases

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Title: Improving Identification of Differentially Expressed Genes in Microarray Studies Using Information From Public Databases
Author: Kim, Richard D; Park, Peter J.

Note: Order does not necessarily reflect citation order of authors.

Citation: Kim, Richard D., and Peter J. Park. 2004. Improving identification of differentially expressed genes in microarray studies using information from public databases. Genome Biology 5(9): R70.
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Abstract: Summary: The process of identifying differentially expressed genes in miroarray studies with small sample sizes can be improved substantially by extracting information from a large number of datasets accumulated in public databases. Abstract: We demonstrate that the process of identifying differentially expressed genes in microarray studies with small sample sizes can be substantially improved by extracting information from a large number of datasets accumulated in public databases. The improvement comes from more reliable estimates of gene-specific variances based on other datasets. For a two-group comparison with two arrays in each group, for example, the result of our method was comparable to that of a t-test analysis with five samples in each group or to that of a regularized t-test analysis with three samples in each group. Our results are further improved by weighting the results of our approach with the regularized t-test results in a hybrid method.
Published Version: doi://10.1186/gb-2004-5-9-r70
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC522877/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10246812
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