Molecular Subtyping of Cancer Based on Distinguishing Co-Expression Modules and Machine Learning

Molecular subtyping of cancer is recognized as a critical and challenging step towards individualized therapy. Most existing computational methods solve this problem via multi-classification of gene-expressions of cancer samples. Although these methods, especially deep learning, perform well in data...

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Detalles Bibliográficos
Autores principales: Sun, Peishuo, Wu, Ying, Yin, Chaoyi, Jiang, Hongyang, Xu, Ying, Sun, Huiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108363/
https://www.ncbi.nlm.nih.gov/pubmed/35586568
http://dx.doi.org/10.3389/fgene.2022.866005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108363/
https://www.ncbi.nlm.nih.gov/pubmed/35586568
http://dx.doi.org/10.3389/fgene.2022.866005

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