A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

Cancer classification is a topic of major interest in medicine since it allows accurate and efficient diagnosis and facilitates a successful outcome in medical treatments. Previous studies have classified human tumors using a large-scale RNA profiling and supervised Machine Learning (ML) algorithms...

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Detalles Bibliográficos
Autores principales: Tabares-Soto, Reinel, Orozco-Arias, Simon, Romero-Cano, Victor, Segovia Bucheli, Vanesa, Rodríguez-Sotelo, José Luis, Jiménez-Varón, Cristian Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924492/
https://www.ncbi.nlm.nih.gov/pubmed/33816921
http://dx.doi.org/10.7717/peerj-cs.270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924492/
https://www.ncbi.nlm.nih.gov/pubmed/33816921
http://dx.doi.org/10.7717/peerj-cs.270

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