Integrating machine learning to construct aberrant alternative splicing event related classifiers to predict prognosis and immunotherapy response in patients with hepatocellular carcinoma

Introduction: In hepatocellular carcinoma (HCC), alternative splicing (AS) is related to tumor invasion and progression. Methods: We used HCC data from a public database to identify AS subtypes by unsupervised clustering. Through feature analysis of different splicing subtypes and acquisition of the...

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Detalles Bibliográficos
Autores principales: Liu, Wangrui, Zhao, Shuai, Xu, Wenhao, Xiang, Jianfeng, Li, Chuanyu, Li, Jun, Ding, Han, Zhang, Hailiang, Zhang, Yichi, Huang, Haineng, Wang, Jian, Wang, Tao, Zhai, Bo, Pan, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573973/
https://www.ncbi.nlm.nih.gov/pubmed/36263133
http://dx.doi.org/10.3389/fphar.2022.1019988

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573973/
https://www.ncbi.nlm.nih.gov/pubmed/36263133
http://dx.doi.org/10.3389/fphar.2022.1019988

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