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Machine learning / Cluster analysis / Estimation theory / RNA / Expectation–maximization algorithm / Mixture model / Hierarchical clustering / Bioinformatics / Gene expression profiling / Statistics / Biology / Gene expression


Model-based clustering of time-course RNA-seq data Man-Kee Maggie Chu and Wenqing He Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, ON, CANADA Corresponding author: Man-Kee M
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Document Date: 2013-08-22 04:39:12


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Company

Stephens / Bullard / /

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Facility

The University of Western Ontario / /

IndustryTerm

biological systems / generation sequencing technology / closed form solution / end-product / treatment groups / hybrid algorithms / hybrid estimation algorithm / /

Organization

Wenqing He Department of Statistical and Actuarial Sciences / University of Western Ontario / London / /

Person

Kee Maggie Chu / Ben-Tovim Jones / /

Position

Walker / Corresponding author / /

ProgrammingLanguage

ML / /

PublishedMedium

Genome Research / /

Region

Western Ontario / /

Technology

clustering algorithm / sequencing technology / hybrid estimation algorithm / proposed algorithms / EMQN5 algorithm / hybrid-EM algorithm / Bioinformatics / quasi-Newton algorithm / two technologies / two EM/quasi-Newton hybrid algorithms / clusering algorithms / EM algorithm / EM algorithms / DNA Chip / gene expression / Expectation-Maximization algorithm / /

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