Effective hybrid feature selection using different bootstrap enhances cancers classification performance

BACKGROUND: Machine learning can be used to predict the different onset of human cancers. Highly dimensional data have enormous, complicated problems. One of these is an excessive number of genes plus over-fitting, fitting time, and classification accuracy. Recursive Feature Elimination (RFE) is a w...

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Detalles Bibliográficos
Autores principales: Abdelwahed, Noura Mohammed, El-Tawel, Gh. S., Makhlouf, M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523996/
https://www.ncbi.nlm.nih.gov/pubmed/36175944
http://dx.doi.org/10.1186/s13040-022-00304-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523996/
https://www.ncbi.nlm.nih.gov/pubmed/36175944
http://dx.doi.org/10.1186/s13040-022-00304-y

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