Optimizing microarray in experimental hypertension-Reference-Cited by-同舟云学术

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Optimizing microarray in experimental hypertension

Published:2005-01 Issue:1 Volume:67 Page:364-370
ISSN:0085-2538
Container-title:Kidney International
language:en
Short-container-title:Kidney International

Author:

Shannon M. Frances,Mckenzie Katja U.S.,Edgley Amanda,Rao Sudha,Peng Kaiman,Shweta Amany,Schyvens Chris G.,Anderson Warwick P.,Wilson Susan R.,Pittelkow Yvonne E.,Ohms Stephen,Whitworth Judith A.

Publisher

Elsevier BV

Subject

Nephrology

Reference19 articles.

1. Microarray analysis of rat chromosome 2 congenic strains;Mcbride;Hypertension,2003

2. A language for data analysis and graphics;Ihaka;J Comput Graph Stat,1996

3. Visualization of gene expression data—The GE-biplot, the Chip-plot and the Gene-plot;Pittelkow;Stat Appl Genet Molec Biol,2003

4. In silico study of transcriptome genetic variation in outbred populations;Perez-Enciso;Genetics,2004

5. Functional correlates of compensatory renal hypertrophy;Hayslett;J Clin Invest,1968

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1. Mining Gene Expression Profile with Missing Values: An Integration of Kernel PCA and Robust Singular Values Decomposition;Current Bioinformatics;2018-12-06

2. Differential gene expression profiling of large and small retinal ganglion cells;Journal of Neuroscience Methods;2008-09

3. Analysis of gene expression in pathophysiological states: Balancing false discovery and false negative rates;Proceedings of the National Academy of Sciences;2006-01-09

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