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A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification

In predictive model development, gene expression data is associated with the unique challenge that the number of samples (n) is much smaller than the amount of features (p). This “n ≪ p” property has prevented classification of gene expression data from deep learning techniques, which have been prov...

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Detalles Bibliográficos
Autores principales:	Kong, Yunchuan, Yu, Tianwei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220289/ https://www.ncbi.nlm.nih.gov/pubmed/30405137 http://dx.doi.org/10.1038/s41598-018-34833-6

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