Gene expression profiling – Clusters of possibilities

0349844 - BTÚ 2011 RIV US eng J - Journal Article
Bergkvist, A. - Rusňáková, Vendula - Šindelka, R. - Garda, J.M.A. - Sjogreen, B. - Lindh, D. - Forootan, A. - Kubista, Mikael
Gene expression profiling – Clusters of possibilities.
Methods. Roč. 50, č. 4 (2010), s. 323-335. ISSN 1046-2023. E-ISSN 1095-9130
R&D Projects: GA AV ČR(CZ) IAA500970904; GA AV ČR IAA500520809
Institutional research plan: CEZ:AV0Z50520701
Keywords : qPCR * Statistical analysis * Xenopus laevis
Subject RIV: EB - Genetics ; Molecular Biology
Impact factor: 4.527, year: 2010

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.
Permanent Link: http://hdl.handle.net/11104/0189980