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Accurate Detection of Differential Expression and Splicing Using Low-Level Features

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Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1507))

Abstract

Gene expression can be quantified in high throughput using microarray technology. Here we describe how to accurately detect differential expression and splicing using a probe-level expression change averaging (PECA) method. PECA is available as an R package from Bioconductor (https://www.bioconductor.org), and it supports multiple operating systems.

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Author information

Authors and Affiliations

  1. Turku Centre for Biotechnology, Tykistökatu 6, 20520, Turku, Finland

    Tomi Suomi & Laura L. Elo

Authors
  1. Tomi Suomi
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  2. Laura L. Elo
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Corresponding authors

Correspondence to Tomi Suomi or Laura L. Elo .

Editor information

Editors and Affiliations

  1. Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA

    Narendra Wajapeyee

  2. Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA

    Romi Gupta

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Suomi, T., Elo, L.L. (2017). Accurate Detection of Differential Expression and Splicing Using Low-Level Features. In: Wajapeyee, N., Gupta, R. (eds) Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation. Methods in Molecular Biology, vol 1507. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6518-2_11

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  • DOI: https://doi.org/10.1007/978-1-4939-6518-2_11

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6516-8

  • Online ISBN: 978-1-4939-6518-2

  • eBook Packages: Springer Protocols

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