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Microarray Experiments on Risk Analysis Using R

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Theory and Practice of Risk Assessment

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 136))

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Abstract

The microarray technique is a powerful biotechnological tool, expanding in a interesting way the vision with which issues in medicine are studied. Microarray technology, allows simultaneous evaluation of the expression of thousands of genes in different tissues of a given organism, and in different stages of development or environmental conditions. However, experiments with microarrays are still substantially costly and laborious, and as a consequence, they are usually conducted with relatively small sample sizes, thereby requiring a careful experimental design and statistical analysis. This paper adopts some applications of microarrays in risk analysis using R statistical software.

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Acknowledgments

The authors gratefully acknowledge the references for their constructive advices to improve this paper. This research was partially sponsored by national founds through the Fundação Nacional para a Ciência e Tecnologia, Portugal - FCT under the projects (PEst-OE/MAT/UI0006/2011 and PEst-OE/MAT/UI0006/2014).

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Authors and Affiliations

  1. Universidade Aberta and CEAUL, Lisbon, Portugal

    Teresa A. Oliveira & Amílcar Oliveira

  2. MEMeC - Universidade Aberta, Lisbon, Portugal

    Andreia A. Monteiro

Authors
  1. Teresa A. Oliveira
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  2. Amílcar Oliveira
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  3. Andreia A. Monteiro
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Corresponding author

Correspondence to Teresa A. Oliveira .

Editor information

Editors and Affiliations

  1. Technological Educational Institute of Athens, Athens, Greece

    Christos P. Kitsos

  2. Universidade Aberta, Palácio Ceia, Lisbon, Portugal

    Teresa A. Oliveira

  3. Democritus University, Thrace, Germany

    Alexandros Rigas

  4. Florida International University, Miami, Florida, USA

    Sneh Gulati

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Oliveira, T.A., Oliveira, A., Monteiro, A.A. (2015). Microarray Experiments on Risk Analysis Using R. In: Kitsos, C., Oliveira, T., Rigas, A., Gulati, S. (eds) Theory and Practice of Risk Assessment. Springer Proceedings in Mathematics & Statistics, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-319-18029-8_12

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