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Future Directions in Drug Discovery Toxicogenomics

Continual improvements in data analysis tools have increased the accessibility of toxicogenomics to drug discovery toxicologists lacking a strong background in informatics. Affymetrix, for example, has developed a stepwise [Pg.524]

As new regulators of gene transcription (snoRNAs, piwi-interacting RNA, currently unknown regulators) are identified and characterized, there is no doubt that these will be integrated into toxicogenomic analyses and will contribute to better prediction and characterization of mechanisms of toxicity. [Pg.524]

Abatangelo, L., Maglietta, R., Distaso, A., et al. 2009. Comparative study of gene set enrichment methods. BMC Bioinf. 10 275. [Pg.525]

Abdi H. 2007. Bonferroni and Sidak Corrections for Multiple Comparisons. In Encyclopedia of Measurement and Statistics (ed SaUcind, N.J.), Sage Publishing, Thousand Oaks. pp. 1-9. [Pg.525]

Dominguez, M., Lozano, J.J., et al. 2013. Transcriptome analysis identifies TNF superfamily receptors as potential therapeutic targets in alcoholic hepatitis. Gut 62(3) 452-460. [Pg.525]


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