Identification of Gene Signatures for Diagnosis and Prognosis of Hepatocellular Carcinomas Patients at Early Stage

Identification of Gene Signatures for Diagnosis and Prognosis of Hepatocellular Carcinomas Patients at Early Stage

The onset of liver cancer is insidious. Currently, there is no effective method for the early detection of hepatocellular carcinoma (HCC). Transcriptomic profiles of 826 tissue samples from the Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), Genotype tissue expression (GTEx), and Inte...

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Bibliographic Details
Main Authors: Xiaoning Gan, Yue Luo, Guanqi Dai, Junhao Lin, Xinhui Liu, Xiangqun Zhang, Aimin Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Genetics
Subjects:
hepatocellular carcinoma
transcriptome
diagnosis prediction model for early HCC
survival risk prediction model for early HCC
machine learning algorithm
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00857/full

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