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Gamma-Normal-Gamma Mixture Model for Detecting Differentially Methylated Loci in Three Breast Cancer Cell Lines

With state-of-the-art microarray technologies now available for whole genome CpG island (CGI) methylation profiling, there is a need to develop statistical models that are specifically geared toward the analysis of such data. In this article, we propose a Gamma-Normal-Gamma (GNG) mixture model for d...

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主要な著者: Khalili, Abbas, Potter, Dustin, Yan, Pearlly, Li, Lang, Gray, Joe, Huang, Tim, Lin, Shili
フォーマット: Artigo
言語:Inglês
出版事項: Libertas Academica 2007
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2675845/
https://ncbi.nlm.nih.gov/pubmed/19455234
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