Response to "Incorporating biological, chemical, and toxicological knowledge into predictive models of toxicity"

Toxicological Sciences

Volumn 130, Issue 2, 2012, Pages 442-443

  Thomas, Russell S ^a   Black, Michael B ^a   Li, Lili ^b   Healy, Eric ^a   Chu, Tzu Ming ^b   Bao, Wenjun ^b   Andersen, Melvin E ^a   Wolfinger, Russell D ^b  

^a HAMNER INSTITUTES FOR HEALTH SCIENCES   (United States)

^b SAS INSTITUTE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ACCIDENT; HIGH THROUGHPUT SCREENING; IN VITRO STUDY; LETTER; MACHINE LEARNING; MICROARRAY ANALYSIS; TOXICOLOGY;

EID: 84869444525     PISSN: 10966080     EISSN: 10960929     Source Type: Journal    
DOI: 10.1093/toxsci/kfs284     Document Type: Letter

References (5)

1. Martin, M. T., Knudsen, T. B., Reif, D. M., Houck, K. A., Judson, R. S., Kavlock, R. J., and Dix, D. J. (2011). Predictive model of rat reproductive toxicity from ToxCast high throughput screening. Biol. Reprod. 85, 327-339.
2. Molinaro, A. M., Simon, R., and Pfeiffer, R. M. (2005). Prediction error estimation: A comparison of resampling methods. Bioinformatics 21, 3301-3307.
3. Shi, L., Campbell, G., Jones, W. D., Campagne, F., Wen, Z., Walker, S. J., Su, Z., Chu, T. M., Goodsaid, F. M., Pusztai, L., et al. (2010). The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat. Biotechnol. 28, 827-838.
4. Sipes, N. S., Martin, M. T., Reif, D. M., Kleinstreuer, N. C., Judson, R. S., Singh, A. V., Chandler, K. J., Dix, D. J., Kavlock, R. J., and Knudsen, T. B. (2011). Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data. Toxicol. Sci. 124, 109-127.
5. Thomas, R. S., Black, M. B., Li, L., Healy, E., Chu, T. M., Bao, W., Andersen, M. E., and Wolfinger, R. D. (2012). A comprehensive statistical analysis of predicting in vivo hazard using high-throughput in vitro screening. Toxicol. Sci. 128, 398-417.