摘要
为了找出与肝癌发生发展有关的基因,利用随机矩阵理论及层次聚类法分析肝癌基因网络,构建了肝癌基因层次树图,分析得到5个具有不同功能的基因团簇,并预测WNT4、SLU7基因与B淋巴细胞免疫过程有关,LMNB2、CDC7L1、H2AFX基因能促进肝癌细胞的增殖.
The hepatocellular carcinoma gene network is analyzed by using the random matrix theory and hierarchical clustering method in order to find out the genes related to the occurrence and development of hepatocellular carcinoma.We construct the hierarchical tree of hepatocellular carcinoma genes and get 5 gene clusters with different functions. It is predicted that the WNT4 and SLU7 genes will be related to the B lymphocyte immune process. LMNB2, CDC7L1 and H2AFX genes can promote the proliferation of HCC cells.
作者
李蓉
郑浪
任喜梅
钟春晓
王锦丽
LI Rong;ZHENG Lang;REN Xi-mei;ZHONG Chun-xiao;WANG Jin-li(Institute of Technology, East China Jiaotong University, Nanchang 330100;Jiangxi Provincial Education Examination Authority, Nanchang 330038 China)
出处
《湘潭大学学报（自然科学版）》
CAS
2019年第2期55-60,共6页
Journal of Xiangtan University(Natural Science Edition)
基金
江西省教育厅科学技术研究项目(GJJ181485)
关键词
随机矩阵理论
层次聚类方法
微阵列数据
肝癌基因网络
random matrix theory
hierarchical clustering
microarray data
hepatocellular carcinoma gene network
