12月18日讲座:Incorporating Group Correlations in Genome-Wide Association Studies Using Smoothed Group Lasso

2012-12-18 中心编辑

主讲人: Dr. Jin (Gordon) Liu(耶鲁大学)

简介:In genome-wide association studies, penalization is an important approach for identifying genetic markers associated with disease. Motivated by the fact that there exists natural grouping structure in SNPs (single nucleotide polymorphism) and more importantly such groups are correlated, we propose a new penalization method for group variable selection which can properly accommodate the correlation between adjacent groups. This method is based on a combination of the group Lasso penalty and a quadratic penalty on difference of regression coefficients of adjacent groups. The new method is referred to as smoothed group Lasso, or SGL.

时间:2012年12月18日(周二)下午4:30-6:00

地点:经济楼D座110室

主办单位:厦门大学经济学院、王亚南经济研究院

承办单位:厦门大学经济学院统计系