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In page Mary Jo Ondrechen:
"She is also the co-developer, with Wenxu Tong and Ronald J. Williams, of a machine learning technology called Partial Order Optimum Likelihood (POOL).[5][6] POOL is a monotonicity-constrained maximum likelihood method for the prediction of properties that depend monotonically on the input features. This method, coupled with THEMATICS input features, is a top-performing active site predictor for protein structures.[citation needed]
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