Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data

Author:

Gagarin Andrei,Kevorkov Dmytro,Makarenkov Vladimir,Zentilli Pablo

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. BRIDEAU, C., GUNTER, B., PIKOUNIS, W. and LIAW, A. (2003): Improved statistical methods for hit selection in high-throughput screening. Journal of Biomolecular Screening, 8, 634–647.

2. ELOWE, N.H., BLANCHARD, J.E., CECHETTO, J.D. and BROWN, E.D. (2005): Experimental screening of dihydrofolate reductase yields a “test set” of 50,000 small molecules for a computational data-mining and docking competition. Journal of Biomolecular Screening, 10, 653–657.

3. HEUER, C., HAENEL, T., PRAUSE, B. (2003): A novel approach for quality control and correction of HTS data based on artificial intelligence. The Pharmaceutical Discovery & Development Report. PharmaVentures Ltd. [Online].

4. HEYSE, S. (2002): Comprehensive analysis of high-throughput screening data. In: Proceedings of SPIE 2002, 4626, 535–547.

5. KAUL, A. (2005): The impact of sophisticated data analysis on the drug discovery process. Business Briefing: Future Drug Discovery 2005. [Online]

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