A Novel Artificial Neural Network Prognostic Model Based on a Cancer-Associated Fibroblast Activation Score System in Hepatocellular Carcinoma

A Novel Artificial Neural Network Prognostic Model Based on a Cancer-Associated Fibroblast Activation Score System in Hepatocellular Carcinoma

IntroductionHepatocellular carcinoma (HCC) ranks fourth as the most common cause of cancer-related death. It is vital to identify the mechanism of progression and predict the prognosis for patients with HCC. Previous studies have found that cancer-associated fibroblasts (CAFs) promote tumor prolifer...

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Bibliographic Details
Main Authors: Yiqiao Luo, Huaicheng Tan, Ting Yu, Jiangfang Tian, Huashan Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Immunology
Subjects:
cancer-associated fibroblasts
hepatocellular carcinoma
artificial neural network
single-cell transcriptome analysis
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.927041/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.927041/full

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