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Multi-scale approaches for the statistical analysis of microarray data (with an application to 3D vesicle tracking)

The recent developments in experimental methods for gene data analysis, called microarrays, provide the possibility of interrogating changes in the expression of a vast number of genes in cell or tissue cultures and thus in depth exploration of disease conditions. As part of an ongoing program of research in Guy A. Rutter (G.A.R.) laboratory, Department of Biochemistry, University of Bristol, UK, with support from the Welcome Trust, we study the impact of established and of potentially new methods to the statistical analysis of gene expression data.

Identiferoai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:492447
Date January 2007
CreatorsMotakis, Efthimios
PublisherUniversity of Bristol
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Sourcehttp://hdl.handle.net/1983/6a764dc8-c4b8-4034-94cc-e58457825a47

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