Ericksen, S. S., Wu, H., Zhang, H., Michael, L. A., Newton, M. A., Hoffmann, F. M., & Wildman, S. A. (2017). Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening. J Chem Inf Model.
Stile di citazione ChicagoEricksen, Spencer S., Haozhen Wu, Huikun Zhang, Lauren A. Michael, Michael A. Newton, F. Michael Hoffmann, e Scott A. Wildman. "Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening." J Chem Inf Model 2017.
Citazione MLAEricksen, Spencer S., et al. "Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening." J Chem Inf Model 2017.
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