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Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data

Detalles Bibliográficos
Autores principales: Pounds, Stan, Gao, Cuilan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853075/
http://dx.doi.org/10.1186/1471-2105-14-S17-A21
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author Pounds, Stan
Gao, Cuilan
author_facet Pounds, Stan
Gao, Cuilan
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spelling pubmed-38530752013-12-16 Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data Pounds, Stan Gao, Cuilan BMC Bioinformatics Meeting Abstract BioMed Central 2013-10-22 /pmc/articles/PMC3853075/ http://dx.doi.org/10.1186/1471-2105-14-S17-A21 Text en Copyright © 2013 Pounds and Gao; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Meeting Abstract
Pounds, Stan
Gao, Cuilan
Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
title Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
title_full Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
title_fullStr Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
title_full_unstemmed Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
title_short Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
title_sort empirical bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
topic Meeting Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853075/
http://dx.doi.org/10.1186/1471-2105-14-S17-A21
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