Application of random matrix theory to identification of lung cancer gene networks

作者：Li Rong; Yan Ping Lan; Chen Jian; Li Jun; Li Jin; Zhang Kai Wang; Zhong Jian Xin^*

来源：Acta Physica Sinica, 2009, 58(10): 6703-6708.

• random matrix theory
• hierarchical clustering
• gene network
• lung cancer

We used random matrix theory (RMT) to remove the noises in lung cancer gene expression data and used the modules approach and the hierarchical clustering approach to construct the gene networks. Comparing the results given by the two methods, we found that RMT-hierarchical clustering method gives true modules as well as the correlations between the modules. The results indicate that RMT-hierarchical clustering method is an effective new method for identifying gene networks.

• 出版日期2009-10
• 单位湘潭大学