Deep learning approach for cancer subtype classification using high-dimensional gene expression data

MOTIVATION: Studies have shown that classifying cancer subtypes can provide valuable information for a range of cancer research, from aetiology and tumour biology to prognosis and personalized treatment. Current methods usually adopt gene expression data to perform cancer subtype classification. How...

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Detalles Bibliográficos
Autores principales: Shen, Jiquan, Shi, Jiawei, Luo, Junwei, Zhai, Haixia, Liu, Xiaoyan, Wu, Zhengjiang, Yan, Chaokun, Luo, Huimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575247/
https://www.ncbi.nlm.nih.gov/pubmed/36253710
http://dx.doi.org/10.1186/s12859-022-04980-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575247/
https://www.ncbi.nlm.nih.gov/pubmed/36253710
http://dx.doi.org/10.1186/s12859-022-04980-9

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