fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies

BACKGROUND: Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free statistics offer a robust alternative to parametric methods, their practical ut...

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Detalles Bibliográficos
Autores principales: Lin, Jiaxing, Sibley, Alexander, Shterev, Ivo, Nixon, Andrew, Innocenti, Federico, Chan, Cliburn, Owzar, Kouros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567636/
https://www.ncbi.nlm.nih.gov/pubmed/31195980
http://dx.doi.org/10.1186/s12859-019-2869-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567636/
https://www.ncbi.nlm.nih.gov/pubmed/31195980
http://dx.doi.org/10.1186/s12859-019-2869-3

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