nestedcv: an R package for fast implementation of nested cross-validation with embedded feature selection designed for transcriptomics and high-dimensional data

MOTIVATION: Although machine learning models are commonly used in medical research, many analyses implement a simple partition into training data and hold-out test data, with cross-validation (CV) for tuning of model hyperparameters. Nested CV with embedded feature selection is especially suited to...

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Detalles Bibliográficos
Autores principales: Lewis, Myles J, Spiliopoulou, Athina, Goldmann, Katriona, Pitzalis, Costantino, McKeigue, Paul, Barnes, Michael R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125905/
https://www.ncbi.nlm.nih.gov/pubmed/37113250
http://dx.doi.org/10.1093/bioadv/vbad048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125905/
https://www.ncbi.nlm.nih.gov/pubmed/37113250
http://dx.doi.org/10.1093/bioadv/vbad048

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