COBRA Notification

• All announcements
• By author, series, or subject in COBRA
• By subject area in COBRA
• RSS Feed

Most Popular Papers

• View the most frequently downloaded papers

Institutions: Join COBRA

• Add your collection to COBRA

About COBRA

• COBRA
• About bepress

Model-based Clustering of Methylation Array Data: A Recursive-partitioning Algorithm for High-dimensional Data Arising as a Mixture of Beta Distributions

• E. Andres Houseman, University of Massachusetts Lowell and Harvard School of Public Health
• Brock C. Christensen, Harvard School of Public Health
• Ru-Fang Yeh, University of California San Francisco
• Carmen J. Marsit, Brown University
• Margaret R. Karagas, Dartmouth-Hitchcock Medical Center
• Margaret Wrensch, University of California San Francisco
• Heather H. Nelson, University of Minnesota School of Public Health
• Joseph Wiemels, University of California San Francisco
• Shichun Zheng, University of California San Francisco
• John K. Wiencke, University of California San Francisco
• Karl T. Kelsey, Brown University

Download the Paper Forward to a colleague

Subject Area:

Computation, Computational Biology/Bioinformatics, Microarrays, Multivariate Analysis

Suggested Citation:

E. Andres Houseman, Brock C. Christensen, Ru-Fang Yeh, Carmen J. Marsit, Margaret R. Karagas, Margaret Wrensch, Heather H. Nelson, Joseph Wiemels, Shichun Zheng, John K. Wiencke, and Karl T. Kelsey, "Model-based Clustering of Methylation Array Data: A Recursive-partitioning Algorithm for High-dimensional Data Arising as a Mixture of Beta Distributions" (June 2008). Harvard University Biostatistics Working Paper Series. Working Paper 80.
http://www.bepress.com/harvardbiostat/paper80