Hierarchical mixture models for biclustering in microarray data

Statistical Modelling ◽

10.1177/1471082x1001100602 ◽

2011 ◽

Vol 11 (6) ◽

pp. 489-505 ◽

Author(s):

F Martella ◽

M Alfò ◽

M Vichi

Keyword(s):

Mixture Models ◽

Microarray Data ◽

Hierarchical Mixture Models

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Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution

Digital Signal Processing ◽

10.1016/j.dsp.2020.102829 ◽

2020 ◽

Vol 106 ◽

pp. 102829

Author(s):

Ziyang Song ◽

Samr Ali ◽

Nizar Bouguila ◽

Wentao Fan

Keyword(s):

Mixture Models ◽

Gaussian Distribution ◽

Hierarchical Mixture Models

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Hierarchical mixture models

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07 ◽

10.1145/1281192.1281255 ◽

2007 ◽

Author(s):

Mark Sandler

Keyword(s):

Mixture Models ◽

Hierarchical Mixture Models

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Hierarchical Mixture Models for Expression Profiles

Bayesian Inference for Gene Expression and Proteomics ◽

10.1017/cbo9780511584589.003 ◽

2009 ◽

pp. 40-52 ◽

Author(s):

Michael A. Newton ◽

Ping Wang ◽

Christina Kendziorski ◽

Marina Vannucci

Keyword(s):

Mixture Models ◽

Expression Profiles ◽

Hierarchical Mixture Models

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Bayesian ranking and selection methods using hierarchical mixture models in microarray studies

Biostatistics ◽

10.1093/biostatistics/kxp047 ◽

2009 ◽

Vol 11 (2) ◽

pp. 281-289 ◽

Author(s):

H. Noma ◽

S. Matsui ◽

T. Omori ◽

T. Sato

Keyword(s):

Mixture Models ◽

Ranking And Selection ◽

Selection Methods ◽

Hierarchical Mixture Models ◽

Bayesian Ranking ◽

Microarray Studies

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Faculty Opinions recommendation of Mixture models for assessing differential expression in complex tissues using microarray data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1017836.207476 ◽

2004 ◽

Author(s):

David J States

Keyword(s):

Differential Expression ◽

Mixture Models ◽

Microarray Data

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Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13672-6_32 ◽

2010 ◽

pp. 325-334 ◽

Author(s):

Philipp Kranen ◽

Ralph Krieger ◽

Stefan Denker ◽

Thomas Seidl

Keyword(s):

Mixture Models ◽

Stream Classification ◽

Bulk Loading ◽

Hierarchical Mixture Models

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Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2006.02.012 ◽

2006 ◽

Vol 51 (2) ◽

pp. 641-658 ◽

Author(s):

Yi He ◽

Wei Pan ◽

Jizhen Lin

Keyword(s):

Gene Expression ◽

Cluster Analysis ◽

Mixture Models ◽

Differential Gene Expression ◽

Microarray Data ◽

Multivariate Normal ◽

Normal Mixture ◽

Normal Mixture Models ◽

Differential Gene

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Empirical Bayes ranking and selection methods via semiparametric hierarchical mixture models in microarray studies

Statistics in Medicine ◽

10.1002/sim.5718 ◽

2012 ◽

Vol 32 (11) ◽

pp. 1904-1916 ◽

Author(s):

Hisashi Noma ◽

Shigeyuki Matsui

Keyword(s):

Mixture Models ◽

Empirical Bayes ◽

Ranking And Selection ◽

Selection Methods ◽

Hierarchical Mixture Models ◽

Microarray Studies

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Hierarchical mixture models for longitudinal immunologic data with heterogeneity, non-normality, and missingness

Statistical Methods in Medical Research ◽

10.1177/0962280214544207 ◽

2016 ◽

Vol 26 (1) ◽

pp. 223-247 ◽

Author(s):

Yangxin Huang ◽

Jiaqing Chen ◽

Ping Yin

Keyword(s):

Mixture Models ◽

Hierarchical Mixture Models

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Microarray data analysis using rival penalized EM algorithm in normal mixture models

Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005. ◽

10.1109/iwvdvt.2005.1504568 ◽

2005 ◽

Author(s):

Xing-Ming Zhao ◽

Yiu-ming Cheung ◽

De-Shuang Huang

Keyword(s):

Data Analysis ◽

Em Algorithm ◽

Mixture Models ◽

Microarray Data ◽

Microarray Data Analysis ◽

Normal Mixture ◽

Normal Mixture Models

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