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Exploratory Data Analysis

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Process Design for Natural Scientists

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 500))

Abstract

In bioinformatics the term exploratory data analysis refers to different methods to get an overview of large biological data sets. Hence, it helps to create a framework for further analysis and hypothesis testing. The workflow facilitates this first important step of the data analysis created by high-throughput technologies. The results are different plots showing the structure of the measurements. The goal of the workflow is the automatization of the exploratory data analysis, but also the flexibility should be guaranteed. The basic tool is the free software R.

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Author information

Authors and Affiliations

  1. Potsdam University, Potsdam, D-14482, Germany

    Janine Vierheller

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  1. Janine Vierheller
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Editor information

Editors and Affiliations

  1. Chair Service and Software Engineering, Institute of Computer Science, University of Potsdam, Potsdam, Germany

    Anna-Lena Lamprecht

  2. Chair Software Engineering, Computer Science and Information Systems Department, University of Limerick and Lero, The Irish Software Research Center, Limerick, Ireland

    Tiziana Margaria

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Vierheller, J. (2014). Exploratory Data Analysis. In: Lamprecht, AL., Margaria, T. (eds) Process Design for Natural Scientists. Communications in Computer and Information Science, vol 500. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45006-2_9

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  • DOI: https://doi.org/10.1007/978-3-662-45006-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45005-5

  • Online ISBN: 978-3-662-45006-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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