【生统中心专题演讲】Mining significant rules in gene expression data
开始日期
2018-10-29 14:00:00
结束日期
2018-10-29 16:00:00
活动说明
【生统中心专题演讲】Mining significant rules in gene expression data
活动日期：2018-10-29（一）下午14点至16点
活动地点：台北医學大學校本部前栋三楼秘書处会议室
台北市信义区吳兴街250号
讲师：Dr. Shu-Chuan Chen, Professor of Statistics, Idaho State University, USA
演讲主题：Mining significant rules in gene expression data
摘要:The purpose of gene expression analysis is to look for the association between regulation of gene expression levels and phenotypic variations. This association based on gene expression profile has been used to determine whether the induction/repression of genes correspond to phenotypic variations including cell regulations, clinical diagnoses and drug development. Statistical analyses on microarray data have been developed to resolve gene selection issue. However, these methods do not inform us of causality between genes and phenotypes. In this talk, we will present the dynamic association rule algorithm which helps ones to efficiently select a subset of significant genes for subsequent analysis.
