Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies-Reference-Cited by-同舟云学术

Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies

Published:2015-06-03 Issue:1 Volume:17 Page:40-53
ISSN:1468-4357
Container-title:Biostatistics
language:en
Short-container-title:

Author:

Lin Lin¹,Chan Cliburn²,West Mike³

Affiliation:

1. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA

2. Biostatistics & Bioinformatics, Duke University Medical Center, Durham, NC 27710-2721, and Department of Statistical Science, Duke University, Durham, NC 27708-0251, USA

3. Department of Statistical Science, Duke University, Durham, NC 27708-0251, USA

Funder

National Institutes of Health

National Science Foundation

NIH

NSF

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://academic.oup.com/biostatistics/article-pdf/17/1/40/28457505/kxv021.pdf

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4. Efficient classification-based relabeling in mixture models;Cron;The American Statistician,2011

5. Multivariate mixtures of normals with unknown number of components;Dellaportas;Statistics and Computing,2006

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