Document
检索banner
高级检索 在检索结果中检索
全部字段 题名 作者 关键词 摘要

Diagnosis of gastric cancer based on hybrid genes selection approach

  • 【作者】Jie Liu,Zhong Cheng,Jiamin Zhang,Kejun Liu,Mengjie Liu
  • 【刊名】Biotechnology & genetic engineering reviews
  • 【作者单位】Affiliations 1 Department of Computer Engineering, Taiyuan Institute of Technology, Taiyuan, Shanxi Province, P. R. China. 2 Shanxi Key Laboratory of Signal Capturing & Processing, North University of China, Taiyuan, Shanxi, P.R. China. 3 School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, P.R. China. 4 School of Mathematics and Information Science, Zhangjiakou University, Zhangjiakou, Hebei Province, P.R. China. 5 Department of Computer Engineering, Taiyuan Normal University, Taiyuan, Shanxi Province, P.R. China.
  • 【年份】2023
  • 【页码】1-20
  • 【ISSN】2046-5556
  • 【关键词】DEGs Feature selection Gastric cancer RF feature importance diagnosis model. 
  • 【摘要】 Gastric cancer is the third leading cause of cancer death worldwide. In the field of medicine, machine learning is widely used in genetic data mining and the construction of diagnostic models. This study proposed an intelligent model DERFS-XGBoost f...
  • 【文献类型】 期刊
进入发现系统查看更多信息
相同作者的文献
相同单位的文献
页脚