Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning

您当前的位置：

首页 >

文章列表页 >

Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning

Short communication | 更新时间：2023-08-29

- Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning
- Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning
- Genes & Diseases 2023年10卷第5期
- 作者机构：
  
  Imaging Department, Shenzhen Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital,Guangdong,Shenzhen,China,518035
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gendis.2022.12.014
  中图分类号：
- 纸质出版日期：2023，
  
  网络出版日期：2023-9-1，
扫描看全文
Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning[J]. Genes & Diseases, 2023,10(5).

Lisha Mou, Lin Liu, Yumiao Qiu, et al. Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning[J]. Genes & Diseases, 2023,10(5).
Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning[J]. Genes & Diseases, 2023,10(5). DOI： 10.1016/j.gendis.2022.12.014.

Lisha Mou, Lin Liu, Yumiao Qiu, et al. Construction of a novel predictive model with seven metabolism-related genes for hepatocellular carcinoma by machine learning[J]. Genes & Diseases, 2023,10(5). DOI： 10.1016/j.gendis.2022.12.014.

摘要

Abstract

关键词

Keywords

references

0

浏览量

0

下载量

0

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

相关文章

暂无数据

相关作者

暂无数据

相关机构

暂无数据

⁰