In this chapter, we provide a structured approach to the statistical analysis of toxicogenomic data, from the assessment of data quality to data exploration, gene and pathway level analysis, and finally predictive model building. This type of analysis approach can yield toxicogenomic models that provide validated and reliable information about the toxicity of compounds. In addition, we provide study design recommendations for genomic studies in toxicology, covering areas of power, sample size, the need for replicates, and the issue of sample pooling.
CITATION STYLE
Elashoff, M. (2008). Role of Statistics in Toxicogenomics (pp. 69–87). https://doi.org/10.1007/978-1-60327-048-9_4
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