Optimal design for high-throughput screening via false discovery rate control

Feng, T and Basu, P and Sun, W and Ku, H T and Mack, W J (2019) Optimal design for high-throughput screening via false discovery rate control. Statistics in Medicine, 38 (15). pp. 2816-2827.

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High-throughput screening (HTS) is a large-scale hierarchical process in which a large number of chemicals are tested in multiple stages. Conventional statistical analyses of HTS studies often suffer from high testing error rates and soaring costs in large-scale settings. This article develops new methodologies for false discovery rate control and optimal design in HTS studies. We propose a two-stage procedure that determines the optimal numbers of replicates at different screening stages while simultaneously controlling the false discovery rate in the confirmatory stage subject to a constraint on the total budget. The merits of the proposed methods are illustrated using both simulated and real data. We show that, at the expense of a limited budget, the proposed screening procedure effectively controls the error rate and the design leads to improved detection power.

Affiliation: Indian School of Business
ISB Creiators:
ISB Creators
Basu, P
Item Type: Article
Uncontrolled Keywords: Drug Discovery, Experimental Design, False Discovery Rate Control, High-throughput Screening, Two-stage Design
Subjects: Operations Management
Depositing User: Gurusrinivasan K
Date Deposited: 09 May 2021 05:58
Last Modified: 09 May 2021 05:58
URI: https://eprints.exchange.isb.edu/id/eprint/1474
Publisher URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/si...
Publisher OA policy: https://v2.sherpa.ac.uk/id/publication/7571
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