Optimizing subnetwork markers for the classification of breast cancer metastases

摘要：

Introduction For breast cancer patients, it is the distant metastases instead of the primary tumors which cause the death mostly. Therefore, it is of great importance to predict the possibilities of metastases in the diagnosis of breast cancer. With the use of the microarray technology, various computational methods based on gene expression profiles have been proposed to identify bio-markers for the classification of breast cancer metastases. Van de Vijver et al and Wang et al have proposed to use individual genes as markers. However, the reproducibility of these methods is in general very poor. To overcome this limitation, Chuang et al have proposed to integrate protein-protein interaction (PPI) networks and gene expression profiles to identify subnetworks of genes as markers.

作者: Ming Yin Peibei Shi Jiaxin Wu Rui Jiang

作者单位: MOE Key laboratory of Bioinformatics and Bioinformatics Division, Department of Automation/TNLIST, T MOE Key laboratory of Bioinformatics and Bioinformatics Division, Department of Automation/ TNLIST, MOE Key laboratory of Bioinformatics and Bioinformatics Division,Department of Automation/ TNLIST, T

会议类型: 国际会议

会议名称: 第四届全国生物信息学与系统生物学学术大会

会议地点: 杭州

会议语种:英文

页码: 149-151

在线出版日期: 2010-10-01（万方平台首次上网日期，不代表论文的发表时间）