A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

BACKGROUND: Correctly classifying the subtypes of cancer is of great significance for the in-depth study of cancer pathogenesis and the realization of personalized treatment for cancer patients. In recent years, classification of cancer subtypes using deep neural networks and gene expression data ha...

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Detalles Bibliográficos
Autores principales: Zhong, Lianxin, Meng, Qingfang, Chen, Yuehui, Du, Lei, Wu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487515/
https://www.ncbi.nlm.nih.gov/pubmed/34600466
http://dx.doi.org/10.1186/s12859-021-04391-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487515/
https://www.ncbi.nlm.nih.gov/pubmed/34600466
http://dx.doi.org/10.1186/s12859-021-04391-2

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