Single-cell and machine learning approaches uncover intrinsic immune-evasion genes in the prognosis of hepatocellular carcinoma

Single-cell and machine learning approaches uncover intrinsic immune-evasion genes in the prognosis of hepatocellular carcinoma

Background and aims: Hepatocellular carcinoma (HCC) is a tumor of high heterogeneity and complexity, which poses significant challenges to effective treatment and patient prognosis because of its immune evasion characteristics. To address these issues, single-cell technology and machine learning met...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiani Wang, Xiaopeng Chen, Donghao Wu, Changchang Jia, Qinghai Lian, Yuhang Pan, Jiumei Yang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-12-01
Series:Liver Research
Subjects:
Hepatocellular carcinoma (HCC)
Intrinsic immune-evasion genes (IIEGs)
The Cancer Genome Atlas (TCGA)
Machine learning
Single-cell analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S254256842400062X
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items