Robust analysis of high throughput screening (HTS) assay data

Technometrics

Volumn 55, Issue 2, 2013, Pages 150-160

  Lim, Changwon ^a   Sen, Pranab K ^b   Peddada, Shyamal D ^c  

^a LOYOLA UNIVERSITY CHICAGO   (United States)

^b University of North Carolina at Chapel Hill   (United States)

^c NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

Dose response study; False discovery rate (FDR); Heteroscedasticity; Hill model; M estimation procedure; Nonlinear regression model; Power; Toxicology

Indexed keywords

DOSE-RESPONSE STUDY; FALSE DISCOVERY RATE; HETEROSCEDASTICITY; M-ESTIMATION; NONLINEAR REGRESSION MODELS; POWER; TOXICOLOGY;

ASSAYS; REGRESSION ANALYSIS; STATISTICS; TISSUE; TOXICITY;

NONLINEAR ANALYSIS;

EID: 84878574651     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.2012.749166     Document Type: Article

References (13)

1. Benjamini, Y., and, Hochberg, Y. 1995. "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society, Series B, 57: 289-300.
2. Benjamini, Y., and, Yekutieli, Y. 2005. "False Discovery Rate-Adjusted Multiple Confidence Intervals for Selected Parameters. Journal of the American Statistical Association, 100: 71-80.
3. Gallant, A. R. 1987. Nonlinear Statistical Models, New York: Wiley.
4. Inglese, J., Auld, D. S., Jadhav, A., Johnson, R. L., Simeonov, A., Yasgar, A., Zheng, W., and, Austin, C. P. 2006. "Quantitative High-Throughput Screening: A Titration-Based Approach That Efficiently Identifies Biological Activities in Large Chemical Libraries. Proceedings of the National Academy of Sciences, 103: 11473-11478.
5. Lim, C., Sen, P. K., and, Peddada, S. D. 2012. "Accounting for Uncertainty in Heteroscedasticity in Nonlinear Regression. Journal of Statistical Planning and Inference, 142: 1047-1062.
6. Michael, S., Auld, D., Klumpp, C., Jadhav, A., Zheng, W., Thorne, N., Austin, C. P., Inglese, J., and, Simeonov, A. 2008. "A Robotic Platform for Quantitative High-Throughput Screening. ASSAY and Drug Development Technologies, 6: 637-657.
7. Parham, F., Austin, C., Southall, N., Huang, R., Tice, R., and, Portier, C. 2009. "Dose-Response Modeling of High-Throughput Screening Data. Journal of Biomolecular Screening, 14: 1216-1227.
8. Qu, X. 2010. "Optimal Row-Column Designs in High-Throughput Screening Experiments. Technometrics, 52: 409-420.
9. Smith, C. S., Bucher, J., Dearry, A., Portier, C., Tice, R. R., Witt, K., and, Collins, B. 2007. "Chemical Selection for NTPs High Throughput Screening Initiative (Abstract). Toxicologist, 46: 247
10. Tice, R. R., Fostel, J., Smith, C. S., Witt, K., Freedman, J. H., Portier, C. J., Dearry, A., and, Bucher, J. 2007. "The National Toxicology Program High Throughput Screening Initiative: Current Status and Future Directions (Abstract). Toxicologist, 46: 246
11. Williams, J. D., Birch, J. B., Woodall, W. H., and, Ferry, N. M. 2007. "Statistical Monitoring of Heteroscedastic Dose-Response Profiles From High-Throughput Screening. Journal of Agricultural, Biological, and Environmental Statistics, 12: 216-235.
12. Xia, M., Huang, R., Witt, K. L., Southall, N., Fostel, J., Cho, M.-H., Jadhav, A., Smith, C. S., Inglese, J., Portier, C. J., Tice, R. R., and, Austin, C. P. 2008. "Compound Cytotoxicity Profiling Using Quantitative High-Throughput Screening. Environmental Health Perspectives, 116: 284-291.
13. Zhang, X. D. 2007. "A New Method With Flexible and Balanced Control of False Negatives and False Positives for Hit Selection in RNA Interference High-Throughput Screening Assays. Journal of Biomolecular Screening, 12: 645-655.