A new clustering method of gene expression data based on multivariate Gaussian mixture models

Signal Image and Video Processing ◽

10.1007/s11760-015-0749-5 ◽

2015 ◽

Vol 10 (2) ◽

pp. 359-368 ◽

Author(s):

Zhe Liu ◽

Yu-qing Song ◽

Cong-hua Xie ◽

Zheng Tang

Keyword(s):

Gene Expression ◽

Mixture Models ◽

Gene Expression Data ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Expression Data ◽

Clustering Method ◽

Multivariate Gaussian

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Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models

Case Studies in Applied Bayesian Data Science - Lecture Notes in Mathematics ◽

10.1007/978-3-030-42553-1_8 ◽

2020 ◽

pp. 215-227

Author(s):

Nicole White ◽

Zoé van Havre ◽

Judith Rousseau ◽

Kerrie L. Mengersen

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Spike Sorting ◽

Multivariate Gaussian

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A New Two-steps Gene Expression Data Clustering Method

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2009.481 ◽

2009 ◽

Author(s):

Yanjie Zhang ◽

Veronique Prinet ◽

Shuanhu Wu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Expression Data ◽

Clustering Method ◽

Gene Expression Data Clustering

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Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML

Lecture Notes in Computer Science - AI 2003: Advances in Artificial Intelligence ◽

10.1007/978-3-540-24581-0_40 ◽

2003 ◽

pp. 477-489 ◽

Author(s):

Yudi Agusta ◽

David L. Dowe

Keyword(s):

Unsupervised Learning ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Multivariate Gaussian

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OverDBC: A new density-based clustering method with the ability of detecting overlapped clusters from gene expression data

Intelligent Data Analysis ◽

10.3233/ida-150784 ◽

2015 ◽

Vol 19 (6) ◽

pp. 1311-1321 ◽

Author(s):

Mansooreh Mirzaie ◽

Ahmad Barani ◽

Naser Nematbakkhsh ◽

Majid Beigi

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Clustering Method ◽

Density Based Clustering

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A kernel-based clustering method for gene selection with gene expression data

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2016.05.007 ◽

2016 ◽

Vol 62 ◽

pp. 12-20 ◽

Author(s):

Huihui Chen ◽

Yusen Zhang ◽

Ivan Gutman

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Expression Data ◽

Clustering Method

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Unsupervised gene expression data using enhanced clustering method

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) ◽

10.1109/ice-ccn.2013.6528554 ◽

2013 ◽

Author(s):

T. Chandrasekhar ◽

K. Thangavel ◽

E. Elayaraja ◽

E. N. Sathishkumar

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Clustering Method

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Weighted dimensionality reduction and robust Gaussian mixture model based cancer patient subtyping from gene expression data

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2020.103620 ◽

2020 ◽

Vol 112 ◽

pp. 103620

Author(s):

Omar Rafique ◽

A.H. Mir

Keyword(s):

Gene Expression ◽

Cancer Patient ◽

Dimensionality Reduction ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gene Expression Data ◽

Gaussian Mixture ◽

Expression Data ◽

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EM algorithms for multivariate Gaussian mixture models with truncated and censored data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2012.03.003 ◽

2012 ◽

Vol 56 (9) ◽

pp. 2816-2829 ◽

Author(s):

Gyemin Lee ◽

Clayton Scott

Keyword(s):

Mixture Models ◽

Censored Data ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Em Algorithms ◽

Truncated And Censored Data ◽

Multivariate Gaussian

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A data-driven clustering method for time course gene expression data

Nucleic Acids Research ◽

10.1093/nar/gkl013 ◽

2006 ◽

Vol 34 (4) ◽

pp. 1261-1269 ◽

Author(s):

P. Ma

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Time Course ◽

Data Driven ◽

Expression Data ◽

Clustering Method

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Clustering gene expression data analysis using an improved EM algorithm based on multivariate elliptical contoured mixture models

Optik ◽

10.1016/j.ijleo.2014.06.128 ◽

2014 ◽

Vol 125 (21) ◽

pp. 6388-6394 ◽

Author(s):

Zhe Liu ◽

Yu-qing Song ◽

Cong-hua Xie ◽

Feng Zhu ◽

Xiang Bao

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Em Algorithm ◽

Mixture Models ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis

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