摘要
生物信息学是一门交叉科学,通过综合运用数学、计算机科学和生物学的各种工具,来阐明和理解大量生物数据所包含的生物学意义。随着基因组学测序技术的不断发展,产生大量的生物学数据资源,从大数据中挖掘所蕴藏的生物学意义,已成为了当前亟待解决的主要任务之一。本文主要归纳总结基于特征基因的肝癌风险预测模型,为肝癌的早期检测、预后和治疗方案的优化提供新观点。
Bioinformatics is an interdisciplinary science that combines the tools of mathematics,computer science,and biology to clarify and explore the biological implications of large amounts of biological data.With the continuous development of genome sequencing technology,a large number of biological data has been generated,and mining of the biological significance contained in big data has become one of the main tasks that need to be solved urgently.This article summarizes the risk prediction models for hepatocellular carcinoma(HCC)based on feature genes,so as to provide new perspectives for early identification,prognosis,and treatment optimization of HCC.
作者
方国旭
张清华
黄永迎
王建民
刘景丰
FANG Guoxu;ZHANG Qinghua;HUANG Yongying;WANG Jianmin;LIU Jingfeng(Department of Hepatopancreatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350025,China;Big Data Institute of Southeast Hepatobiliary Health Information,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350025,China;Graduate School of Fujian Medical University,Fuzhou 350108,China;Department of Epidemics,Fujian Provincial Tumor Hospital,Fuzhou 350014,China;Innovation Center for Cancer Research,Fujian Provincial Tumor Hospital,Fuzhou 350014,China;Department of Hepatopancreatobiliary Surgery,Fujian Provincial Tumor Hospital,Fuzhou 350014,China)
出处
《临床肝胆病杂志》
CAS
北大核心
2022年第1期15-19,共5页
Journal of Clinical Hepatology
关键词
癌
肝细胞
生物信息学
预测
Carcinoma,Hepatocellular
Bioinformatics
Forecasting