Gene expression profiling – Clusters of possibilities

0349844 - BTÚ 2011 RIV US eng J - Článek v odborném periodiku
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
Grant CEP: GA AV ČR(CZ) IAA500970904; GA AV ČR IAA500520809
Výzkumný záměr: CEZ:AV0Z50520701
Klíčová slova: qPCR * Statistical analysis * Xenopus laevis
Kód oboru RIV: EB - Genetika a molekulární biologie
Impakt faktor: 4.527, rok: 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.
Trvalý link: http://hdl.handle.net/11104/0189980