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...

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Detalles Bibliográficos
Autores principales: Li, Shaochuan, Yang, Yuning, Wang, Xin, Li, Jun, Yu, Jun, Li, Xiangtao, Wong, Ka-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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