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An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples

BACKGROUND: Machine learning is one kind of machine intelligence technique that learns from data and detects inherent patterns from large, complex datasets. Due to this capability, machine learning techniques are widely used in medical applications, especially where large-scale genomic and proteomic...

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Detalles Bibliográficos
Autores principales: Bose, Shilpi, Das, Chandra, Banerjee, Abhik, Ghosh, Kuntal, Chattopadhyay, Matangini, Chattopadhyay, Samiran, Barik, Aishwarya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459790/
https://www.ncbi.nlm.nih.gov/pubmed/34616883
http://dx.doi.org/10.7717/peerj-cs.671