A Mixture model with random-effects components for clustering correlated gene-expression profiles

Bioinformatics ◽

10.1093/bioinformatics/btl165 ◽

2006 ◽

Vol 22 (14) ◽

pp. 1745-1752 ◽

Author(s):

S. K. Ng ◽

G. J. McLachlan ◽

K. Wang ◽

L. Ben-Tovim Jones ◽

S.-W. Ng

Keyword(s):

Gene Expression ◽

Mixture Model ◽

Random Effects ◽

Expression Profiles ◽

Gene Expression Profiles

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Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

BMC Bioinformatics ◽

10.1186/1471-2105-13-300 ◽

2012 ◽

Vol 13 (1) ◽

pp. 300 ◽

Author(s):

Kui Wang ◽

Shu Kay Ng ◽

Geoffrey J McLachlan

Keyword(s):

Gene Expression ◽

Mixture Models ◽

Random Effects ◽

Time Course ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Normal Mixture ◽

Normal Mixture Models

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Bayesian infinite mixture model based clustering of gene expression profiles

Bioinformatics ◽

10.1093/bioinformatics/18.9.1194 ◽

2002 ◽

Vol 18 (9) ◽

pp. 1194-1206 ◽

Author(s):

M. Medvedovic ◽

S. Sivaganesan

Keyword(s):

Gene Expression ◽

Mixture Model ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Model Based Clustering ◽

Model Based ◽

Infinite Mixture Model

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1327: Gene Expression Profiles in Benign Prostatic Hyperplasia

The Journal of Urology ◽

10.1016/s0022-5347(18)38552-5 ◽

2004 ◽

Vol 171 (4S) ◽

pp. 349-350

Author(s):

Gaelle Fromont ◽

Michel Vidaud ◽

Alain Latil ◽

Guy Vallancien ◽

Pierre Validire ◽

...

Keyword(s):

Gene Expression ◽

Benign Prostatic Hyperplasia ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Prostatic Hyperplasia

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cDNA microarray analysis of gene expression profiles in human placenta: up-regulation of the transcript encoding muscle subunit of glycogen phosphorylase in preeclampsia

Journal of the Society for Gynecologic Investigation ◽

10.1016/s1071-5576(03)00154-0 ◽

2003 ◽

Vol 10 (8) ◽

pp. 496-502 ◽

Author(s):

S Tsoi

Keyword(s):

Gene Expression ◽

Microarray Analysis ◽

Cdna Microarray ◽

Human Placenta ◽

Glycogen Phosphorylase ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Cdna Microarray Analysis

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Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology

Yearbook of Neurology and Neurosurgery ◽

10.1016/s0513-5117(10)79306-6 ◽

2010 ◽

Vol 2010 ◽

pp. 113-114

Author(s):

J. Uhm

Keyword(s):

Gene Expression ◽

Expression Profiles ◽

Gene Expression Profiles ◽

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Stromal Cells Derived from Non-Small Cell Lung Cancer and Normal Lung Tissue Display Mesenchymal Stem Cell Characteristics and Differ in Their Gene Expression Profiles and Functional Behaviour

Pneumologie ◽

10.1055/s-0029-1213954 ◽

2009 ◽

Vol 63 (S 01) ◽

Author(s):

S Gottschling ◽

A Jauch ◽

M Granzow ◽

R Kuner ◽

T Muley ◽

...

Keyword(s):

Gene Expression ◽

Lung Cancer ◽

Stem Cell ◽

Mesenchymal Stem Cell ◽

Stromal Cells ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Normal Lung ◽

Small Cell Lung

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Gene Expression Profiles in CML Non-responders

Case Medical Research ◽

10.31525/ct1-nct04219111 ◽

2020 ◽

Author(s):

Keyword(s):

Gene Expression ◽

Expression Profiles ◽

Gene Expression Profiles

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Faculty Opinions recommendation of Gene expression profiles of HIV-1-infected glia and brain: toward better understanding of the role of astrocytes in HIV-1-associated neurocognitive disorders.

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

10.3410/f.1166271.627210 ◽

2009 ◽

Author(s):

Bruce Brew

Keyword(s):

Gene Expression ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Neurocognitive Disorders ◽

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Faculty Opinions recommendation of The identification of gene expression profiles associated with progression of human diabetic neuropathy.

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

10.3410/f.13437021.14811150 ◽

2012 ◽

Author(s):

Andreas Steck ◽

Petrica-Adrian Panaite

Keyword(s):

Gene Expression ◽

Diabetic Neuropathy ◽

Expression Profiles ◽

Gene Expression Profiles

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Faculty Opinions recommendation of Distinct gene-expression profiles associated with the susceptibility of pathogen-specific CD4 T cells to HIV-1 infection.

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

10.3410/f.717980795.793471790 ◽

2013 ◽

Author(s):

Paul Goepfert ◽

Anju Bansal

Keyword(s):

Gene Expression ◽

T Cells ◽

Cd4 T Cells ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Distinct Gene ◽

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