1 citations · 2 across the 6 of their papers we have counts for
6 papers
Design and Analysis Strategies for Pooling in High Throughput Screening: Application to the Search for a New Anti-Microbial
Byran Smucker, Benjamin Brennan, Emily Rego +4
A major public health issue is the growing resistance of bacteria to antibiotics. An important part of the needed response is the discovery and development of new antimicrobial str…
The use of cross validation in the analysis of designed experiments
Maria L. Weese, Byran J. Smucker, David J. Edwards
Cross-validation (CV) is a common method to tune machine learning methods and can be used for model selection in regression as well. Because of the structured nature of small, trad…
A Multi-Objective Capacity-Constrained Optimization of Corn Planting Scheduling
Mingshi Cui, Kunting Qi, Byran Smucker +1
This article describes an improved set of solutions to the problems presented in the 2021 Syngenta Crop Challenge in Analytics \citep{Syngenta2021}. In particular, we use multiobje…
Large Row-Constrained Supersaturated Designs for High-throughput Screening
Byran J. Smucker, Stephen E. Wright, Isaac Williams +5
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 scienc…
A Graphical Comparison of Screening Designs using Support Recovery Probabilities
Kade Young, Maria L. Weese, Jonathan W. Stallrich +2
A screening experiment attempts to identify a subset of important effects using a relatively small number of experimental runs. Given the limited run size and a large number of pos…
An Optimal Design Framework for Lasso Sign Recovery
Jonathan W. Stallrich, Kade Young, Maria L. Weese +2
Supersaturated designs investigate more factors than there are runs, and are often constructed under a criterion measuring a design's proximity to an unattainable orthogonal design…