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Statistics

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Mathematica for Bioinformatics

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Abstract

In this chapter we will review some statistical approaches using the Wolfram Language. The Wolfram Language has extensive capabilities for statistics, including visualization tools. The abilities to generate distributions and intermix code with mathematical statistics greatly facilitate prototyping various analysis approaches.

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Authors and Affiliations

  1. Department of Biochemistry and Molecular Biology, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, USA

    George Mias

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  1. George Mias
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Correspondence to George Mias .

3.1 Electronic supplementary material

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Mias, G. (2018). Statistics. In: Mathematica for Bioinformatics. Springer, Cham. https://doi.org/10.1007/978-3-319-72377-8_3

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