生物信息学在肝细胞癌风险预测中的应用

方国旭; 张清华; 黄永迎; 王建民; 刘景丰

doi:10.3969/j.issn.1001-5256.2022.01.002

生物信息学在肝细胞癌风险预测中的应用

DOI: 10.3969/j.issn.1001-5256.2022.01.002

方国旭^{1a, 1b},
张清华²,
黄永迎^3a,
王建民^3b,
刘景丰^{1b, 3c, ,}

1a.
福建医科大学孟超肝胆医院肝胆胰外, 福州 350025
1b.
福建医科大学孟超肝胆医院东南肝胆健康大数据研究所, 福州 350025
2.
福建医科大学研究生院, 福州 350108
3a.
福建省肿瘤医院流行病研究室, 福州 350014
3b.
福建省肿瘤医院肿瘤医学创新中心, 福州 350014
3c.
福建省肿瘤医院肝胆胰肿瘤外科, 福州 350014

利益冲突声明：所有作者均声明不存在利益冲突。

作者贡献声明：方国旭负责撰写论文；张清华、黄永迎和王建民负责修改论文；刘景丰负责拟定写作思路，指导撰写文章并最后定稿。

详细信息

通信作者:
刘景丰，drjingfeng@126.com

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- 文章访问数: 898
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- PDF下载量: 151
- 被引次数: 0
出版历程
- 收稿日期: 2021-11-30
- 录用日期: 2021-12-06
- 出版日期: 2022-01-20

Application of bioinformatics in predicting the risk of hepatocellular carcinoma

Guoxu FANG^{1a, 1b},
Qinghua ZHANG²,
Yongying HUANG^3a,
Jianmin WANG^3b,
Jingfeng LIU^{1b, 3c
, ,}

1a.
Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
1b.
Big Data Institute of Southeast Hepatobiliary Health Information, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
2.
Graduate School of Fujian Medical University, Fuzhou 350108, China
3a.
Department of Epidemics, Fujian Provincial Tumor Hospital, Fuzhou 350014, China
3b.
Innovation Center for Cancer Research, Fujian Provincial Tumor Hospital, Fuzhou 350014, China
3c.
Department of Hepatopancreatobiliary Surgery, Fujian Provincial Tumor Hospital, Fuzhou 350014, China

摘要

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。
- 癌, 肝细胞 /
- 生物信息学 /
- 预测
Abstract: 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.
- Carcinoma, Hepatocellular /
- Bioinformatics /
- Forecasting

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参考文献(40)

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