Differential Co-expression Analysis of Breast Cancer Based on a Meta-module Recovery Method

被引：0
|
作者：
Zhang, Yada [1 ]
Guo, Ling [1 ]
Liu, Minghua [1 ]
机构：
[1] Northwest Minzu Univ, Coll Elect Engn, Lanzhou, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
基金：
中国国家自然科学基金;
关键词：
Breast Cancer; Differential Co-expression; Biomarker; Survival Analysis;
D O I：
10.1109/CCDC58219.2023.10327630
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of potential biomarkers in breast cancer is investigated in this paper. A meta-module recovery method is proposed to explore potential biomarkers. Firstly, meta-modules are constructed using Differential Correlation in Expression for meta-module Recovery (DICER) method. Then, enrichment analysis is performed on these modules. Enrichment analysis shows that the genes in the module are mainly involved in some biological processes and pathways. Finally, a protein-protein interaction (PPI) network of related genes is established and 10 key genes in this network are identified. Survival analysis shows that there are obvious links between 5 genes and the prognosis of patients.
引用
收藏
页码：3109 / 3113
页数：5
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