Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery

BACKGROUND: Feature selection is often used to identify the important features in a dataset but can produce unstable results when applied to high-dimensional data. The stability of feature selection can be improved with the use of feature selection ensembles, which aggregate the results of multiple...

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Detalles Bibliográficos
Autores principales: Spooner, Annette, Mohammadi, Gelareh, Sachdev, Perminder S., Brodaty, Henry, Sowmya, Arcot
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830744/
https://www.ncbi.nlm.nih.gov/pubmed/36624372
http://dx.doi.org/10.1186/s12859-022-05132-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830744/
https://www.ncbi.nlm.nih.gov/pubmed/36624372
http://dx.doi.org/10.1186/s12859-022-05132-9

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