Microarray data analysis toolbox (MDAT): For normalization, adjustment and analysis of gene expression data

Nicholas Knowlton; Igor M. Dozmorov; Michael Centola

doi:10.1093/bioinformatics/bth424

Microarray data analysis toolbox (MDAT): For normalization, adjustment and analysis of gene expression data

Nicholas Knowlton, Igor M. Dozmorov, Michael Centola

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Summary: We introduce a novel Matlab toolbox for microarray data analysis. This toolbox uses normalization based upon a normally distributed background and differential gene expression based on five statistical measures. The objects in this toolbox are open source and can be implemented to suit your application.

Original language	English (US)
Pages (from-to)	3687-3690
Number of pages	4
Journal	Bioinformatics
Volume	20
Issue number	18
DOIs	https://doi.org/10.1093/bioinformatics/bth424
State	Published - Dec 12 2004

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/bth424

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title = "Microarray data analysis toolbox (MDAT): For normalization, adjustment and analysis of gene expression data",

abstract = "Summary: We introduce a novel Matlab toolbox for microarray data analysis. This toolbox uses normalization based upon a normally distributed background and differential gene expression based on five statistical measures. The objects in this toolbox are open source and can be implemented to suit your application.",

author = "Nicholas Knowlton and Dozmorov, {Igor M.} and Michael Centola",

year = "2004",

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doi = "10.1093/bioinformatics/bth424",

language = "English (US)",

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T1 - Microarray data analysis toolbox (MDAT)

T2 - For normalization, adjustment and analysis of gene expression data

AU - Knowlton, Nicholas

AU - Dozmorov, Igor M.

AU - Centola, Michael

PY - 2004/12/12

Y1 - 2004/12/12

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AB - Summary: We introduce a novel Matlab toolbox for microarray data analysis. This toolbox uses normalization based upon a normally distributed background and differential gene expression based on five statistical measures. The objects in this toolbox are open source and can be implemented to suit your application.

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EP - 3690

JO - Bioinformatics

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Microarray data analysis toolbox (MDAT): For normalization, adjustment and analysis of gene expression data

Abstract

ASJC Scopus subject areas

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