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Publication
Microarray experiments on risk analysis using R
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Advisor(s)
Abstract(s)
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.
Description
Keywords
ANOVA Bioinformatics Design of experiments DNA microarrays technology Software R
Citation
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
Publisher
Springer