Random-forest algorithm based biomarkers in predicting prognosis in the patients with hepatocellular carcinoma

Random-forest algorithm based biomarkers in predicting prognosis in the patients with hepatocellular carcinoma

Abstract Background Hepatocellular carcinoma (HCC) one of the most common digestive system tumors, threatens the tens of thousands of people with high morbidity and mortality world widely. The purpose of our study was to investigate the related genes of HCC and discover their potential abilities to...

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Bibliographic Details
Main Authors: Lingyun Guo, Zhenjiang Wang, Yuanyuan Du, Jie Mao, Junqiang Zhang, Zeyuan Yu, Jiwu Guo, Jun Zhao, Huinian Zhou, Haitao Wang, Yanmei Gu, Yumin Li
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Cancer Cell International
Subjects:
Hepatocellular carcinoma
Random-forest algorithm
TCGA
SPC25
NUF2
MCM2
Online Access:http://link.springer.com/article/10.1186/s12935-020-01274-z

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http://link.springer.com/article/10.1186/s12935-020-01274-z

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