Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation

Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation

Many experiments require simultaneously testing many hypotheses. This is particularly relevant in the context of DNA microarray experiments, where it is common to analyze many genes to determine which of them are differentially expressed under two conditions. Another important problem in this contex...

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Bibliographic Details
Main Authors: Elisa C. J. Maria, Isabel Salazar, Luis Sanz, Miguel A. Gómez-Villegas
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Mathematics
Subjects:
bayesian inference
copula function
dependence
DNA microarrays
testing multiple hypotheses
Online Access:https://www.mdpi.com/2227-7390/8/9/1514

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https://www.mdpi.com/2227-7390/8/9/1514

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