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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| 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 |