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Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning
BACKGROUND: Cancer molecular subtyping plays a critical role in individualized patient treatment. In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes. Unfortunately, the existing ones suffer from the curse of dimensionality, dat...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034628/ https://www.ncbi.nlm.nih.gov/pubmed/35461302 http://dx.doi.org/10.1186/s13040-022-00295-w |