Identification of gastric cancer-related differentially expressed genes by combining PCA and ICA.
- Author:
Zhanlei CHEN
1
;
Boyu LI
1
;
Yi LI
1
;
Nini RAO
1
Author Information
1. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
- Publication Type:Journal Article
- MeSH:
Gene Expression Profiling;
Gene Expression Regulation, Neoplastic;
Genes, Neoplasm;
Humans;
Principal Component Analysis;
Stomach Neoplasms;
genetics;
metabolism
- From:
Journal of Biomedical Engineering
2013;30(5):914-931
- CountryChina
- Language:Chinese
-
Abstract:
Screening potential differentially expressed genes can help us to understand the functions of the genes and their roles in disease development. Due to the different emphases of the principal component analysis and independent component analysis, a novel method that combines principal component analysis and independent component analysis is proposed to identify differentially expressed genes associated with gastric cancer for the improvement of accuracy and credibility of results. This method screens out 16 differentially expressed genes which is significantly related to the occurrence and development of gastric cancer from gastric cancer gene expression data with 7129 genes and 29 samples. These genes are worthy to be studied experimentally. The results of this paper are helpful for revealing the occurrence and development mechanism of gastric cancer.
