Normalization of affymetrix miRNA microarrays for the analysis of cancer samples

Di Wu; Michael P. Gantier

doi:10.1007/7651_2015_239

Normalization of affymetrix miRNA microarrays for the analysis of cancer samples

Di Wu, Michael P. Gantier

Hudson Institute - Department of Molecular and Translational Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other › peer-review

4 Citations (Scopus)

Abstract

microRNA (miRNA) microarray normalization is a critical step for the identification of truly differentially expressed miRNAs. This is particularly important when dealing with cancer samples that have a global miRNA decrease. In this chapter, we provide a simple step-by-step procedure that can be used to normalize Affymetrix miRNA microarrays, relying on robust normal-exponential background correction with cyclic loess normalization.

Original language	English
Title of host publication	Microarray Data Analysis
Subtitle of host publication	Methods and Applications
Editors	Pietro Hiram Guzzi
Publisher	Humana Press
Pages	1-10
Number of pages	10
Volume	1375
Edition	2nd
DOIs	https://doi.org/10.1007/7651_2015_239
Publication status	Published - 1 May 2016

Publication series

Name	Methods in Molecular Biology
Publisher	Springer
Volume	1375
ISSN (Print)	10643745

Keywords

Affymetrix
Cancer samples
MicroRNA
MiRNA microarray
Normalization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/7651_2015_239

Cite this

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abstract = "microRNA (miRNA) microarray normalization is a critical step for the identification of truly differentially expressed miRNAs. This is particularly important when dealing with cancer samples that have a global miRNA decrease. In this chapter, we provide a simple step-by-step procedure that can be used to normalize Affymetrix miRNA microarrays, relying on robust normal-exponential background correction with cyclic loess normalization.",

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Normalization of affymetrix miRNA microarrays for the analysis of cancer samples. / Wu, Di; Gantier, Michael P.
Microarray Data Analysis: Methods and Applications. ed. / Pietro Hiram Guzzi. Vol. 1375 2nd. ed. Humana Press, 2016. p. 1-10 (Methods in Molecular Biology; Vol. 1375).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other › peer-review

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AU - Gantier, Michael P.

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AB - microRNA (miRNA) microarray normalization is a critical step for the identification of truly differentially expressed miRNAs. This is particularly important when dealing with cancer samples that have a global miRNA decrease. In this chapter, we provide a simple step-by-step procedure that can be used to normalize Affymetrix miRNA microarrays, relying on robust normal-exponential background correction with cyclic loess normalization.

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KW - Cancer samples

KW - MicroRNA

KW - MiRNA microarray

KW - Normalization

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M3 - Chapter (Book)

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BT - Microarray Data Analysis

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Normalization of affymetrix miRNA microarrays for the analysis of cancer samples

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Targeting small RNA technologies

Epistatic and cross-tissue analysis for human gene expression traits

microRNA regulation of antiviral responses

Cite this

Normalization of affymetrix miRNA microarrays for the analysis of cancer samples

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Projects

Targeting small RNA technologies

Epistatic and cross-tissue analysis for human gene expression traits

microRNA regulation of antiviral responses

Cite this