Prediction of genes related to obesity using eQTL information

摘要：

Introduction Mining complex human disease genes is very important to understand disease pathogenesis and improve clinical treatment. Its difficult to identify genes underlying complex disease because they are generally controlled by multiple genes and environment. Traditional experimental methods have discovered a large number of candidate genes, but its still a challenge. Nowadays, bioinformatics and computational biology are applied to facilitate the research due to the accumulation of huge amount of genomic data.

作者: Yuanjuan.Tao Xiao. Sun Jianming. Xie

作者单位: State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering,Southeast University, Nanjing 210096, China

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: 163-165

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）