Literature DB >> 20835791

Normalization of gene-expression microarray data.

Stefano Calza1, Yudi Pawitan.   

Abstract

Expression microarrays are designed to quantify the amount of mRNA in a specific sample. However, this can only be done indirectly through quantifying the color intensities returned by labeled mRNA molecules bound to the array surface. Translating pixel intensities into transcript expression requires a series of computations, generically known as preprocessing and normalization steps. In this chapter, we introduce the basic concepts and methods, and illustrate them using data from three commonly used commercial platforms.

Mesh:

Year:  2010        PMID: 20835791     DOI: 10.1007/978-1-60761-842-3_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Standardizing immunophenotyping for the Human Immunology Project.

Authors:  Holden T Maecker; J Philip McCoy; Robert Nussenblatt
Journal:  Nat Rev Immunol       Date:  2012-02-17       Impact factor: 53.106

2.  An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder Cancer.

Authors:  Michail Sarafidis; George I Lambrou; Vassilis Zoumpourlis; Dimitrios Koutsouris
Journal:  Cancers (Basel)       Date:  2022-07-10       Impact factor: 6.575

3.  Accumulation of potential driver genes with genomic alterations predicts survival of high-risk neuroblastoma patients.

Authors:  Chen Suo; Wenjiang Deng; Trung Nghia Vu; Mingrui Li; Leming Shi; Yudi Pawitan
Journal:  Biol Direct       Date:  2018-07-16       Impact factor: 4.540

  3 in total

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