Estimating the local false discovery rate via a bootstrap solution to the reference class problem

Methods of estimating the local false discovery rate (LFDR) have been applied to different types of datasets such as high-throughput biological data, diffusion tensor imaging (DTI), and genome-wide association (GWA) studies. We present a model for LFDR estimation that incorporates a covariate into e...

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Detalles Bibliográficos
Autores principales: Abbas-Aghababazadeh, Farnoosh, Alvo, Mayer, Bickel, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261018/
https://www.ncbi.nlm.nih.gov/pubmed/30475807
http://dx.doi.org/10.1371/journal.pone.0206902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261018/
https://www.ncbi.nlm.nih.gov/pubmed/30475807
http://dx.doi.org/10.1371/journal.pone.0206902

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