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Published Online: 27 October 2006

Comparative Microarray Analysis

Publication: OMICS:A Journal of Integrative Biology
Volume 10, Issue Number 3

Abstract

Microarrays enable high-throughput parallel gene expression analysis, and their use has grown exponentially during the past decade. We are now in a position where individual experiments could benefit from using the swelling public data repositories to allow microarrays to progress from being a hypothesis-generating tool to a powerful resource that can be used to test hypothesis about biology. Comparative microarray analysis could better distinguish phenotypes from associated phenotypes; identify valid differentially expressed genes by combining many studies; test new hypothesis; and discover fundamental patterns of gene regulation. This review aims to describe the additional methodology needed for such comparative microarray analysis, and we identify and discuss a number of problems such as loss of published data, lack of annotations, and variable array quality, which need to be solved before comparative microarray analysis can be used in a more systematic and powerful manner.

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Published In

cover image OMICS: A Journal of Integrative Biology
OMICS:A Journal of Integrative Biology
Volume 10Issue Number 3Fall 2006
Pages: 381 - 397
PubMed: 17069515

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Published online: 27 October 2006
Published in print: Fall 2006

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Dr. Ola Larsson
Department of Medicine, University of Minnesota, Minneapolis, Minnesota.
Kristian Wennmalm
Cancer Center Karolinska, Department of Oncology and Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Rickard Sandberg
Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts.

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