Fusing Dual-Event Data Sets for Mycobacterium tuberculosis Machine Learning Models and Their Evaluation. - Sean Ekins; Joel S. Freundlich; Robert C. Reynolds (J. Chem. Inf. Model., 2013)

Are Bigger Data Sets Better for Machine Learning? Fusing Single-Point and Dual-Event Dose Response Data for Mycobacterium tuberculosis. - Sean Ekins; Joel S. Freundlich; Robert C. Reynolds (J. Chem. Inf. Model., 2014)

Looking Back to the Future: Predicting in Vivo Efficacy of Small Molecules versus Mycobacterium tuberculosis. - Sean Ekins; Richard Pottorf; Robert C. Reynolds; Antony J. Williams; Alex M. Clark; Joel S. Freundlich (J. Chem. Inf. Model., 2014)

Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets. - Alex M. Clark; Krishna Dole; Anna Coulon-Spektor; Andrew M. McNutt; George Grass; Joel S. Freundlich; Robert C. Reynolds; Sean Ekins (J. Chem. Inf. Model., 2015)

Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015). - Sean Ekins; Alexander L. Perryman; Alex M. Clark; Robert C. Reynolds; Joel S. Freundlich (J. Chem. Inf. Model., 2016)