Agglomerative joint clustering of metabolic data with spike at zero: A Bayesian perspective-Reference-Cited by-同舟云学术

Agglomerative joint clustering of metabolic data with spike at zero: A Bayesian perspective

Published:2015-06-22 Issue:2 Volume:58 Page:387-396
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Partovi Nia Vahid¹,Ghannad-Rezaie Mostafa²

Affiliation:

1. GERAD research center and Department of Mathematical and Industrial Engineering; Polytechnique Montréal; 2900 Edouard-Montpetit J3T 1J4 Montréal Canada

2. Department of Electrical Engineering; Massachusetts Institute of Technology; 77 Massachusetts Ave. Cambridge MA USA

Funder

Natural Sciences and Engineering Research Council of Canada Discovery Grant

Swiss National Science Foundation Fellowship

Publisher

Wiley

Subject

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

Reference38 articles.

1. Adler , D. Murdoch , D. 2014 rgl: 3D visualization device system (OpenGL)

2. A Laplace mixture model for identification of differential expression in microarray experiments;Bhowmick;Biostatistics,2006

3. Clustering using objective functions and stochastic search;Booth;Journal of the Royal Statistical Society, Series B,2008

4. Machine learning versus statistical modeling;Boulesteix;Biometrical Journal,2014

5. Statistical modeling: The two cultures (with comments and a rejoinder by the author);Breiman;Statistical Science,2001

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