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Microarray Experiments on Risk Analysis Using R

  • Teresa A. OliveiraEmail author
  • Amílcar Oliveira
  • Andreia A. Monteiro
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 136)

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.

Keywords

ANOVA Bioinformatics Design of experiments DNA Microarrays technology Software R 

Notes

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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Teresa A. Oliveira
    • 1
    Email author
  • Amílcar Oliveira
    • 1
  • Andreia A. Monteiro
    • 2
  1. 1.Universidade Aberta and CEAULLisbonPortugal
  2. 2.MEMeC - Universidade AbertaLisbonPortugal

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