Selecting normalization genes for small diagnostic microarrays

<p>Abstract</p> <p>Background</p> <p>Normalization of gene expression microarrays carrying thousands of genes is based on assumptions that do not hold for diagnostic microarrays carrying only few genes. Thus, applying standard microarray normalization strategies to diag...

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Main Authors: Spang Rainer, Jaeger Jochen
Format: Article
Language:English
Published: BMC 2006-08-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/388
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author Spang Rainer
Jaeger Jochen
author_facet Spang Rainer
Jaeger Jochen
author_sort Spang Rainer
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>Normalization of gene expression microarrays carrying thousands of genes is based on assumptions that do not hold for diagnostic microarrays carrying only few genes. Thus, applying standard microarray normalization strategies to diagnostic microarrays causes new normalization problems.</p> <p>Results</p> <p>In this paper we point out the differences of normalizing large microarrays and small diagnostic microarrays. We suggest to include additional normalization genes on the small diagnostic microarrays and propose two strategies for selecting them from genomewide microarray studies. The first is a data driven univariate selection of normalization genes. The second is multivariate and based on finding a balanced diagnostic signature. Finally, we compare both methods to standard normalization protocols known from large microarrays.</p> <p>Conclusion</p> <p>Not including additional genes for normalization on small microarrays leads to a loss of diagnostic information. Using house keeping genes from the literature for normalization fails to work for certain datasets. While a data driven selection of additional normalization genes works well, the best results were obtained using a balanced signature.</p>
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spelling doaj.art-3144532e2cc5457bab1ca62367ddf05d2022-12-21T23:17:49ZengBMCBMC Bioinformatics1471-21052006-08-017138810.1186/1471-2105-7-388Selecting normalization genes for small diagnostic microarraysSpang RainerJaeger Jochen<p>Abstract</p> <p>Background</p> <p>Normalization of gene expression microarrays carrying thousands of genes is based on assumptions that do not hold for diagnostic microarrays carrying only few genes. Thus, applying standard microarray normalization strategies to diagnostic microarrays causes new normalization problems.</p> <p>Results</p> <p>In this paper we point out the differences of normalizing large microarrays and small diagnostic microarrays. We suggest to include additional normalization genes on the small diagnostic microarrays and propose two strategies for selecting them from genomewide microarray studies. The first is a data driven univariate selection of normalization genes. The second is multivariate and based on finding a balanced diagnostic signature. Finally, we compare both methods to standard normalization protocols known from large microarrays.</p> <p>Conclusion</p> <p>Not including additional genes for normalization on small microarrays leads to a loss of diagnostic information. Using house keeping genes from the literature for normalization fails to work for certain datasets. While a data driven selection of additional normalization genes works well, the best results were obtained using a balanced signature.</p>http://www.biomedcentral.com/1471-2105/7/388
spellingShingle Spang Rainer
Jaeger Jochen
Selecting normalization genes for small diagnostic microarrays
BMC Bioinformatics
title Selecting normalization genes for small diagnostic microarrays
title_full Selecting normalization genes for small diagnostic microarrays
title_fullStr Selecting normalization genes for small diagnostic microarrays
title_full_unstemmed Selecting normalization genes for small diagnostic microarrays
title_short Selecting normalization genes for small diagnostic microarrays
title_sort selecting normalization genes for small diagnostic microarrays
url http://www.biomedcentral.com/1471-2105/7/388
work_keys_str_mv AT spangrainer selectingnormalizationgenesforsmalldiagnosticmicroarrays
AT jaegerjochen selectingnormalizationgenesforsmalldiagnosticmicroarrays