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홈 > 학술정보 >학술행사 > 세미나
2017 고려대학교 수학과 학술강연

Title
Highdimensional data analytics for gene network problems
Speaker
한성원   (고려대학교 )
Date
2017-04-07 16:30:00
Host
고려대학교
Place
아산이학관524호
Abstract
This presentation discusses the recent development of methodologies for estimating cancer genenet works, which has been a very important problem in genomic projects for decades.To estimate the gene pathway, a directed acyclic graph in terms of probabilistic graphical modeling has been used. However,with ultra-high dimensional data, the estimation of the gene pathways or genenet works is a very challenging problem.We discuss the recent development to estimate gene networks based on many analytic methods such as statistics, graph theory,and optimization. For high dimensional data,a variable selection technique is the first obstacle,which is an emerging topic in the area of statistics. Another challenging obstacle is how to estimate the network structure since the problem is a mixed integer nonlinear optimization with a cyclic constraint. Finally,we discuss the inferences and application with the estimation of the network.
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