@article {153096,
	title = {Improving identification of differentially expressed genes in microarray studies using information from public databases.},
	journal = {Genome Biol},
	volume = {5},
	number = {9},
	year = {2004},
	month = {2004},
	pages = {R70},
	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.

},
	keywords = {Databases, Genetic, Gene Expression Profiling, Gene Expression Regulation, Oligonucleotide Array Sequence Analysis},
	issn = {1465-6914},
	doi = {10.1186/gb-2004-5-9-r70},
	author = {<b>Kim, Richard D</b> and <b>Park, Peter J</b>}
}
