An integrative model of multi-organ drug-induced toxicity prediction using gene-expression data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/1471-2105-15-S16-S2.pdf
Reference18 articles.
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2. Li AP: Accurate prediction of human drug toxicity: a major challenge in drug development. Chem Biol Interact. 2004, 150 (1): 3-7. 10.1016/j.cbi.2004.09.008.
3. Thukral SK, Nordone PJ, Hu R, Sullivan L, Galambos E, Fitzpatrick VD, Healy L, Bass MB, Cosenza ME, Afshari CA: Prediction of Nephrotoxicant Action and Identification of Candidate Toxicity-Related Biomarkers. Toxicol Pathol. 2005, 33 (3): 343-55. 10.1080/01926230590927230.
4. Huang L, Heinloth AN, Zeng ZB, Paules RS, Bushel PR: Genes related to apoptosis predict necrosis of the liver as a phenotype observed in rats exposed to a compendium of hepatotoxicants. BMC Genomics. 2008, 9: 288-10.1186/1471-2164-9-288.
5. Kulkarni K, Larsen P, Linninger AA: Assessing chronic liver toxicity based on relative gene-expression data. J Theor Biol. 2008, 254 (2): 308-18. 10.1016/j.jtbi.2008.05.032.
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