High Dimensional Variable Selection with Error Control

Background. The iterative sure independence screening (ISIS) is a popular method in selecting important variables while maintaining most of the informative variables relevant to the outcome in high throughput data. However, it not only is computationally intensive but also may cause high false disco...

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Detalles Bibliográficos
Autores principales: Kim, Sangjin, Halabi, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5002494/
https://www.ncbi.nlm.nih.gov/pubmed/27597974
http://dx.doi.org/10.1155/2016/8209453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5002494/
https://www.ncbi.nlm.nih.gov/pubmed/27597974
http://dx.doi.org/10.1155/2016/8209453

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