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Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods

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Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods - Mirola, William A., and Emerson, Michael O., and Monahan, Susanne C
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Statisticians have met the need to test hundreds or thousands of genomics hypotheses simultaneously with novel empirical Bayes methods that combine advantages of traditional Bayesian and frequentist statistics. Techniques for estimating the local false discovery rate assign probabilities of differential gene expression, genetic association, etc. without requiring subjective prior distributions. This book brings these methods to scientists while keeping the mathematics at an elementary level. Readers will learn the ...

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Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods 2019, CRC Press, London

ISBN-13: 9780367280369

Hardcover