Deep learning identified glioblastoma subtypes based on internal genomic expression ranks

BACKGROUND: Glioblastoma (GBM) can be divided into subtypes according to their genomic features, including Proneural (PN), Neural (NE), Classical (CL) and Mesenchymal (ME). However, it is a difficult task to unify various genomic expression profiles which were standardized with various procedures fr...

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Detalles Bibliográficos
Autores principales: Mao, Xing-gang, Xue, Xiao-yan, Wang, Ling, Lin, Wei, Zhang, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780813/
https://www.ncbi.nlm.nih.gov/pubmed/35057766
http://dx.doi.org/10.1186/s12885-022-09191-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780813/
https://www.ncbi.nlm.nih.gov/pubmed/35057766
http://dx.doi.org/10.1186/s12885-022-09191-2

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