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.
CITATION STYLE
Oliveira, T. A., Oliveira, A., & Monteiro, A. A. (2015). Microarray experiments on risk analysis using R. In Springer Proceedings in Mathematics and Statistics (Vol. 136, pp. 147–158). Springer New York LLC. https://doi.org/10.1007/978-3-319-18029-8_12
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