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

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

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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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Bibliographic Details
Main Authors: Joe Gray, Tim Huang, Shili Lin, Pearlly Yan, Lang Li, Abbas Khalili, Dustin Potter
Format: Article
Language:English
Published: SAGE Publishing 2007-01-01
Series:Cancer Informatics
Subjects:
CpG islands
mixture modeling
methylation/epigenetic signature
microarrays
breast cancer cell lines
Online Access:http://la-press.com/article.php?article_id=46

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http://la-press.com/article.php?article_id=46

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