Automated exploitation of deep learning for cancer patient stratification across multiple types

MOTIVATION: Recent frameworks based on deep learning have been developed to identify cancer subtypes from high-throughput gene expression profiles. Unfortunately, the performance of deep learning is highly dependent on its neural network architectures which are often hand-crafted with expertise in d...

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Detalles Bibliográficos
Autores principales: Sun, Pingping, Fan, Shijie, Li, Shaochuan, Zhao, Yingwei, Lu, Chang, Wong, Ka-Chun, Li, Xiangtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636288/
https://www.ncbi.nlm.nih.gov/pubmed/37934154
http://dx.doi.org/10.1093/bioinformatics/btad654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636288/
https://www.ncbi.nlm.nih.gov/pubmed/37934154
http://dx.doi.org/10.1093/bioinformatics/btad654

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