A Novel Biomarker Identification Approach for Gastric Cancer Using Gene Expression and DNA Methylation Dataset.

ABSTRACT: As one type of complex disease, gastric cancer has high mortality rate, and there are few effective treatments for patients in advanced stage. With the development of biological technology, a large amount of multiple-omics data of gastric cancer are generated, which enables computational method to discover potential biomarkers of gastric cancer. That will be very important to detect gastric cancer at earlier stages and thus assist in providing timely treatment. However, most of biological data have the characteristics of high dimension and low sample size. It is hard to process directly without feature selection. Besides, only using some omic data, such as gene expression data, provides limited evidence to investigate gastric cancer associated biomarkers. In this research, gene expression

SUBMITTER: Zhang G 

PROVIDER: S-EPMC8044773 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature