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Microarray Data Analysis for Transcriptome Profiling

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Book cover Transcriptome Data Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1751))

Abstract

Microarray data have vastly accumulated in the past two decades. Due to the high-throughput characteristic of microarray techniques, it has transformed biological studies from specific genes to transcriptome level, and deeply boosted many fields of biological studies. While microarray offers great advantages for expression profiling, on the other hand it faces a lot challenges for computational analysis. In this chapter, we demonstrate how to perform standard analysis including data preprocessing, quality assessment, differential expression analysis, and general downstream analyses.

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Acknowledgments

This work was supported by a Natural Science Funding of Shenzhen (JCYJ201607115221141) and a Shenzhen Peacock Plan fund (827-000116) to YW. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

  1. Epigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, VA, USA

    Ming-an Sun

  2. Department of Human Genetics, McGill University, Montréal, Canada

    Xiaojian Shao

  3. The McGill University and Génome Québec Innovation Centre, Montréal, QC, Canada

    Xiaojian Shao

  4. Department of Cell Biology and Genetics, School of Basic Medicine, Shenzhen University Health Science Center, Shenzhen, China

    Yejun Wang

Authors
  1. Ming-an Sun
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  2. Xiaojian Shao
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  3. Yejun Wang
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Editor information

Editors and Affiliations

  1. Department of Cell Biology and Genetics, School of Basic Medicine, Shenzhen University Health, Science Center, Shenzhen, China

    Yejun Wang

  2. Epigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, Virginia, USA

    Ming-an Sun

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Sun, Ma., Shao, X., Wang, Y. (2018). Microarray Data Analysis for Transcriptome Profiling. In: Wang, Y., Sun, Ma. (eds) Transcriptome Data Analysis. Methods in Molecular Biology, vol 1751. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7710-9_2

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  • DOI: https://doi.org/10.1007/978-1-4939-7710-9_2

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7709-3

  • Online ISBN: 978-1-4939-7710-9

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