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High-dimensional variable selection for ordinal outcomes with error control

Many high-throughput genomic applications involve a large set of potential covariates and a response which is frequently measured on an ordinal scale, and it is crucial to identify which variables are truly associated with the response. Effectively controlling the false discovery rate (FDR) without...

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Detalles Bibliográficos
Publicado en:Brief Bioinform
Main Authors: Fu, Han, Archer, Kellie J
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2020
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7820886/
https://ncbi.nlm.nih.gov/pubmed/32031572
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbaa007
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