A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification

It is crucial to accurately categorize cancers using microarray data. Researchers have employed a variety of computational intelligence approaches to analyze gene expression data. It is believed that the most difficult part of the problem of cancer diagnosis is determining which genes are informativ...

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Detalles Bibliográficos
Autores principales: Houssein, Essam H., Hassan, Hager N., Samee, Nagwan Abdel, Jamjoom, Mona M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178557/
https://www.ncbi.nlm.nih.gov/pubmed/37175012
http://dx.doi.org/10.3390/diagnostics13091621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178557/
https://www.ncbi.nlm.nih.gov/pubmed/37175012
http://dx.doi.org/10.3390/diagnostics13091621

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