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Gene expression profiling – Clusters of possibilities
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SYSNO ASEP 0349844 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Gene expression profiling – Clusters of possibilities Author(s) Bergkvist, A. (SE)
Rusňáková, Vendula (BTO-N)
Šindelka, R. (GB)
Garda, J.M.A. (ES)
Sjogreen, B. (SE)
Lindh, D. (SE)
Forootan, A. (SE)
Kubista, Mikael (BTO-N) RIDSource Title Methods. - : Elsevier - ISSN 1046-2023
Roč. 50, č. 4 (2010), s. 323-335Number of pages 12 s. Language eng - English Country US - United States Keywords qPCR ; Statistical analysis ; Xenopus laevis Subject RIV EB - Genetics ; Molecular Biology R&D Projects IAA500970904 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) IAA500520809 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z50520701 - BTO-N (2007-2013) UT WOS 000276262100017 DOI 10.1016/j.ymeth.2010.01.009 Annotation Advances in qPCR technology allow studies of increasingly large systems .The increasing data sizes allow expression profiling both in the gene and the samples dimension results. We distinguish between exploratory and confirmatory statistical studies. we demonstrate several techniques available for exploratory studies on a system of Xenopus laevis development from egg to tadpole. Techniques include hierarchical clustering, heatmap, principal component analysis and self-organizing maps. We stress that even though exploratory studies are excellent for generating hypotheses, results have not been proven statistically significant until an independent confirmatory study has been performed. However, exploratory and confirmatory studies are intimately connected and we would like to raise that awareness among qPCR practitioners. We suggest that scientific reports should always have a hypothesis focus. Workplace Institute of Biotechnology Contact Monika Kopřivová, Monika.Koprivova@ibt.cas.cz, Tel.: 325 873 700 Year of Publishing 2011
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