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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:BMC Bioinformatics
Autores principales: Lin, Jiaxing, Sibley, Alexander, Shterev, Ivo, Nixon, Andrew, Innocenti, Federico, Chan, Cliburn, Owzar, Kouros
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2019
Materias:
Software
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6567636/
https://ncbi.nlm.nih.gov/pubmed/31195980
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2869-3
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares