1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…