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

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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Bibliographic Details
Main Authors: Wangrui Liu, Shuai Zhao, Wenhao Xu, Jianfeng Xiang, Chuanyu Li, Jun Li, Han Ding, Hailiang Zhang, Yichi Zhang, Haineng Huang, Jian Wang, Tao Wang, Bo Zhai, Lei Pan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Pharmacology
Subjects:
hepatocellular carcinoma
tumor microenvironment
immune checkpoint molecules
alternative splicing event
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.1019988/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2022.1019988/full

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