Statistics and Biostatistics seminar series
Byran Smucker
Henry Ford Health
Room: M3 3127
Large Row-Constrained Supersaturated Designs for High-throughput Screening
High-throughput screening, in which large numbers of compounds are traditionally studied one-at-a-time in multiwell plates, is widely used across many areas of the biological and chemical sciences including drug discovery. To improve the efficiency of these screens, we propose a new class of supersaturated designs that guide the construction of pools of compounds in each well. Because the size of the pools are typically limited by the particular application, the new designs accommodate this constraint and are part of a larger procedure that we call Constrained Row Screening, or CRowS.
We develop an efficient computational procedure to construct CRowS 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 CRowS is statistically superior to the traditional one-compound-one-well approach as well as an existing pooling method, and provide results from two separate applications having to do with the search for solutions to antibiotic-resistant bacteria.