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Durham e-Theses
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Statistical analysis of microarrays

Mouzaki, Daphne (2005) Statistical analysis of microarrays. Unspecified thesis, Durham University.

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Abstract

Microarray statistical analysis involves thousands of hypothesis tests to consider at the same time. Empirical Bayes methods which are well-suited for large scale inference problems seem to be the most appropriate approach for microarray data. In this thesis we describe and compare Efron's ([3],[1],[4]) nonparametric empirical statistical analysis and Newton's and Kendziorski'ร ([12]) parametric empirical statistical analysis on microarray data. Both methods estimate Efron's ([3],[1],[4]) local false discovery rate, which identifies interesting genes and provides information about the power of the experiment.

Item Type:Thesis (Unspecified)
Award:Unspecified
Thesis Date:2005
Copyright:Copyright of this thesis is held by the author
Deposited On:09 Sep 2011 09:53

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