Controlling false discoveries in high-dimensional situations: boosting with stability selection

BACKGROUND: Modern biotechnologies often result in high-dimensional data sets with many more variables than observations (n≪p). These data sets pose new challenges to statistical analysis: Variable selection becomes one of the most important tasks in this setting. Similar challenges arise if in mode...

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Detalles Bibliográficos
Autores principales: Hofner, Benjamin, Boccuto, Luigi, Göker, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464883/
https://www.ncbi.nlm.nih.gov/pubmed/25943565
http://dx.doi.org/10.1186/s12859-015-0575-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464883/
https://www.ncbi.nlm.nih.gov/pubmed/25943565
http://dx.doi.org/10.1186/s12859-015-0575-3

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