Topic: Large Row-Constrained Supersaturated Designs for High-throughput Screening
Speaker: David J. Edwards
Date: November 7, 10am Eastern Time / 4pm Central European Time / 7 am Pacific Time
Abstract
High-throughput screening, in which multiwell plates are used to test large numbers of compounds against specific targets, is widely used across many areas of the biological sciences and most prominently in drug discovery. We propose a statistically principled approach to these screening experiments, using the machinery of supersaturated designs and the Lasso. To accommodate limitations on the number of biological entities that can be applied to a single microplate well, we present a new class of row-constrained supersaturated designs. We develop a computational procedure to construct these designs, provide some initial lower bounds on the average squared off-diagonal values of their main-effects information matrix, and study the impact of the constraint on design quality. We also show via simulation that the proposed constrained row screening method is statistically superior to existing methods and demonstrate the use of the new methodology on a real drug-discovery system.
Speaker Bio
David J. Edwards is Professor and Head of Mathematics and Data Analytics at The Citadel, The Military College of South Carolina. Prior to joining The Citadel, he served as Professor and Chair of Statistical Sciences and Operations Research at Virginia Commonwealth University. He holds a BS in Mathematics from Virginia Tech and an MS and PhD in Statistics from The University of Tennessee. His research is focused on applied statistics and data analytics with especial interest in design and analysis of experiments, model selection, and interpretable machine learning. He is heavily involved in interdisciplinary research and has worked on projects as varied as air transportation, middle school math specialists, pharmaceutical engineering, and the human microbiome. Dr. Edwards is a Fellow of the American Statistical Association, former Editor-in-Chief of Quality Engineering (a journal devoted to applied statistical methods for industrial practice), and a former Associate Editor for Technometrics.
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