E-Prints Complutense

Bayesian Analysis of Multiple Hypothesis Testing with Applications to Microarray Experiments

Impacto

Descargas

Último año

Gómez Villegas, Miguel A. y Ausin, A.C y González Pérez, Beatriz y Rodríguez-Bernal, María Teresa y Salazar, I. y Sanz San Miguel, Luis (2011) Bayesian Analysis of Multiple Hypothesis Testing with Applications to Microarray Experiments. Communications in statistics. Theory and methods, 40 (13). pp. 2276-2291. ISSN 0361-0926

[img] PDF
Restringido a Sólo personal autorizado del repositorio hasta 2020.

504kB

URL Oficial: http://www.tandfonline.com/loi/lsta20


URLTipo de URL
http://www.tandfonline.com/Editorial


Resumen

Recently, the field of multiple hypothesis testing has experienced a great expansion, basically because of the new methods developed in the field of genomics.
These new methods allow scientists to simultaneously process thousands of hypothesis tests.
The frequentist approach to this problem is made by using different testing error measures that allow to control the Type I error rate at a certain desired level. Alternatively, in this article, a Bayesian hierarchical model based on mixture distributions and an empirical Bayes approach are proposed in order to produce a list of rejected hypotheses that will be declared significant and interesting for a more detailed posterior analysis.
In particular, we develop a straightforward implementation of a Gibbs sampling scheme where all the conditional posterior distributions are explicit.
The results are compared with the frequentist False Discovery Rate (FDR) methodology. Simulation examples show that our model improves the FDR procedure in the sense that it diminishes the percentage of false negatives keeping an acceptable percentage of false positives.


Tipo de documento:Artículo
Palabras clave:Empirical Bayes methods; False discovery rate; Gibbs sampler; Mixture models; Multiple hypothesis testing;False Discovery Rate; Gene-Expression; Empirical Bayes; Model;Statistics & Probability
Materias:Ciencias > Matemáticas > Estadística matemática
Código ID:15635
Depositado:14 Jun 2012 10:37
Última Modificación:26 Jul 2016 08:20

Descargas en el último año

Sólo personal del repositorio: página de control del artículo