Combined performance of screening and variable selection methods in ultra-high dimensional data in predicting time-to-event outcomes

BACKGROUND: Building prognostic models of clinical outcomes is an increasingly important research task and will remain a vital area in genomic medicine. Prognostic models of clinical outcomes are usually built and validated utilizing variable selection methods and machine learning tools. The challen...

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Detalles Bibliográficos
Autores principales: Pi, Lira, Halabi, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214199/
https://www.ncbi.nlm.nih.gov/pubmed/30393771
http://dx.doi.org/10.1186/s41512-018-0043-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214199/
https://www.ncbi.nlm.nih.gov/pubmed/30393771
http://dx.doi.org/10.1186/s41512-018-0043-4

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