Review on application of artificial intelligence in tumor gene expression data analysis
10.3969/j.issn.1005-202X.2024.03.018
- VernacularTitle:人工智能在肿瘤基因表达数据中的应用研究进展
- Author:
Kunpeng LI
1
;
Zepeng WANG
;
Yu ZHOU
;
Sihai LI
Author Information
1. 甘肃中医药大学信息工程学院,甘肃兰州 730000
- Keywords:
gene expression data;
artificial intelligence;
machine learning;
feature selection;
review
- From:
Chinese Journal of Medical Physics
2024;41(3):389-396
- CountryChina
- Language:Chinese
-
Abstract:
Tumors are serious diseases threatening human health,and the early diagnosis is essential to improve treatment success and patient survival.The study of tumor gene expression data has become a major tool for revealing tumor disease mechanisms,in which artificial intelligence plays an important role.The potential advantages of supervised learning,unsupervised learning and deep learning in tumor prediction and classification are explored from the perspective of machine learning methods.Special attention is paid to the impact of feature selection algorithms on gene screening and their importance in high-dimensional gene expression data.By providing a comprehensive overview of the application and development of artificial intelligence in the analysis of tumor gene expression data,the study aims to provide an outlook for future research directions and promote further development.
