中山大学精准医疗研讨会

　　近年来，随着基因测序成本的下降、各种生物标志物的出现、计算机计算能力的大幅提升，个体化治疗的思想逐步渗透到诸多领域。今年3月，科技部首次召开精准医学战略专家会议，计划启动精准医疗计划，精准医疗拟被列为“十三五”健康保障发展问题研究的重大专项之一。随着人类进入大数据时代，精准医疗将成为未来医疗发展的必然趋势，而如何更为准确有效地从数据中挖掘信息是精准医疗中的最核心问题之一。为促进相关研究领域的发展，为众多学者提供交流机会，中山大学数学学院与中山大学华南统计科学研究中心定于2016年6月29-30日在中国广州举办“中山大学精准医疗研讨会”。

学术报告介绍

 Method of divide-and-combine in regularized generalized linear models for Big Data
 Peter X.K. Song
 Professor of Biostatistics, University of Michigan, Ann Arbor, MI
 Genetic Studies on Myopia!
 Xiaobo Guo
 Assistant Professor of Statistics in School of Mathematics, Sun Yat-Sen University 
 Classification with Ultrahigh-Dimensional Features
 Yi Li
 Professor in school of public health and Professor of Biostatistics&Director of Kidney Epidemiology and Cost Center, University of Michigan
  
 Valid statistical inference methods for a case-control study with missing data
 Guoliang Tian
Associate Professor in Department of Statistics and Actuarial Science, The University of Hong Kong
 
 Identifying genetic variants for learning ability with neuroimaging
 Heping Zhang
 Susan Dwight Bliss Professor of Public Health (Biostatistics) and Professor in the Child Study Center and of Statistics, Yale University
 
 Regression Coefficients Clustering in Data Integration
 Lu Tang

 Ph.D. Candidate in the Department of Biostatistics, University of Michigan
  
 Ball Divergence
 Xueqin Wang
 Professor of School of Mathematics and Zhongshan School of Medicine, Sun Yat-Sen University

 主办：中山大学数学学院
 中山大学华南统计科学研究中心