Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio

Feature selection in high dimensional gene expression datasets not only reduces the dimension of the data, but also the execution time and computational cost of the underlying classifier. The current study introduces a novel feature selection method called weighted signal to noise ratio (W(SNR)) by...

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Detalles Bibliográficos
Autores principales: Hamraz, Muhammad, Ali, Amjad, Mashwani, Wali Khan, Aldahmani, Saeed, Khan, Zardad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128961/
https://www.ncbi.nlm.nih.gov/pubmed/37098036
http://dx.doi.org/10.1371/journal.pone.0284619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128961/
https://www.ncbi.nlm.nih.gov/pubmed/37098036
http://dx.doi.org/10.1371/journal.pone.0284619

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