Carregant...

Surrogate minimal depth as an importance measure for variables in random forests

MOTIVATION: It has been shown that the machine learning approach random forest can be successfully applied to omics data, such as gene expression data, for classification or regression and to select variables that are important for prediction. However, the complex relationships between predictor var...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:Bioinformatics
Autors principals: Seifert, Stephan, Gundlach, Sven, Szymczak, Silke
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6761946/
https://ncbi.nlm.nih.gov/pubmed/30824905
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz149
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!