Research progress of machine learning in mining of tumor markers
10.3760/cma.j.cn114452-20200930-00754
- VernacularTitle:机器学习在肿瘤分子标志物挖掘中的研究进展
- Author:
Xiaoying LOU
1
;
Wei CUI
Author Information
1. 国家癌症中心/国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院，北京 100021
- Keywords:
Machine learning;
Tumor marker;
Data mining
- From:
Chinese Journal of Laboratory Medicine
2021;44(6):532-536
- CountryChina
- Language:Chinese
-
Abstract:
With the development and application of high-throughput sequencing and multi-omics techniques, more and more biomarkers have been excavated and used in disease diagnosis, risk stratification, treatment response evaluation and prognosis predication. Machine learning has certain advantages in mining and evaluating of tumor markers due to the capacity of dealing with complicated data and building models. This article summarized common machine learning methods, and detailed current applications of machine learning in mining of tumor markers. Additionally, our review aimed to provide the advantages and disadvantages of different machine learning methods in mining of tumor markers.
