Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김성욱 | - |
dc.date.accessioned | 2019-05-16T06:16:19Z | - |
dc.date.available | 2019-05-16T06:16:19Z | - |
dc.date.issued | 2008-02 | - |
dc.identifier.citation | 한국데이터정보과학회지, v. 19, No. 1, Page. 219-228 | en_US |
dc.identifier.issn | 1598-9402 | - |
dc.identifier.uri | http://www.dbpia.co.kr/Article/NODE07244177 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/104348 | - |
dc.description.abstract | In DNA microarray analysis, it is an important problem to detect differentials of gene expression. We use the gamma and the weibull distributions in modeling gene expression. We assume mixture priors on the parameters representing different effects between two experimental conditions. Markov chain Monte Carlo methods are used to compute the Bayes factor and posterior means. We perform a simulation study and real data analysis to demonstrate our theoretical results. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국데이터정보과학회 | en_US |
dc.subject | 베이즈 요인 | en_US |
dc.subject | 감마 분포 | en_US |
dc.subject | 마코프연쇄 | en_US |
dc.subject | 와이블 분포 | en_US |
dc.subject | 마이크로어레이 | en_US |
dc.title | Bayesian approach for detecting differentials of gene expression with the mixture prior | en_US |
dc.type | Article | en_US |
dc.relation.journal | 한국데이터정보과학회지 | - |
dc.contributor.googleauthor | Hong, Min Young | - |
dc.contributor.googleauthor | Bae, Re Na | - |
dc.contributor.googleauthor | Park, Ju Won | - |
dc.contributor.googleauthor | Jang, Hak Jin | - |
dc.contributor.googleauthor | Kim, Seong W. | - |
dc.relation.code | 2012214440 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF APPLIED MATHEMATICS | - |
dc.identifier.pid | seong | - |
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