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Andy Liaw

Showing results (1-10 of 34) with videos related to

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Journal of Biomolecular Screening|January 9, 2004
Statistical and graphical methods for quality control determination of high-throughput screening dataBert Gunter, Christine Brideau, Bill Pikounis, et al.
Journal of Biomolecular Screening|January 9, 2004
Improved statistical methods for hit selection in high-throughput screeningChristine Brideau, Bert Gunter, Bill Pikounis, et al.
ACS Omega|July 15, 2024
Development and Evaluation of Conformal Prediction Methods for Quantitative Structure-Activity RelationshipYuting Xu, Andy Liaw, Robert P Sheridan, et al.
Journal of Chemical Information and Modeling|October 6, 2020
Nearest Neighbor Gaussian Process for Quantitative Structure-Activity RelationshipsAnthony DiFranzo, Robert P Sheridan, Andy Liaw, et al.
Journal of Chemical Information and Modeling|January 25, 2020
Correction to Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P Sheridan, Min Wang, Andy Liaw, et al.
Journal of Chemical Information and Modeling|April 19, 2019
Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression TreesDai Feng, Vladimir Svetnik, Andy Liaw, et al.
Journal of Chemical Information and Modeling|September 6, 2017
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity RelationshipsYuting Xu, Junshui Ma, Andy Liaw, et al.
Pharmaceutical Research|December 5, 2022
Convolutional Neural Networks Enable Highly Accurate and Automated Subvisible Particulate Classification of BiopharmaceuticalsShubing Wang, Andy Liaw, Yue-Ming Chen, et al.
Journal of Chemical Information and Modeling|January 31, 2015
Deep neural nets as a method for quantitative structure-activity relationshipsJunshui Ma, Robert P Sheridan, Andy Liaw, et al.
Journal of Chemical Information and Modeling|June 1, 2005
Boosting: an ensemble learning tool for compound classification and QSAR modelingVladimir Svetnik, Ting Wang, Christopher Tong, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Journal of Biomolecular Screening|January 9, 2004
Statistical and graphical methods for quality control determination of high-throughput screening dataBert Gunter, Christine Brideau, Bill Pikounis, et al.
Journal of Biomolecular Screening|January 9, 2004
Improved statistical methods for hit selection in high-throughput screeningChristine Brideau, Bert Gunter, Bill Pikounis, et al.
ACS Omega|July 15, 2024
Development and Evaluation of Conformal Prediction Methods for Quantitative Structure-Activity RelationshipYuting Xu, Andy Liaw, Robert P Sheridan, et al.
Journal of Chemical Information and Modeling|October 6, 2020
Nearest Neighbor Gaussian Process for Quantitative Structure-Activity RelationshipsAnthony DiFranzo, Robert P Sheridan, Andy Liaw, et al.
Journal of Chemical Information and Modeling|January 25, 2020
Correction to Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P Sheridan, Min Wang, Andy Liaw, et al.
Journal of Chemical Information and Modeling|April 19, 2019
Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression TreesDai Feng, Vladimir Svetnik, Andy Liaw, et al.
Journal of Chemical Information and Modeling|September 6, 2017
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity RelationshipsYuting Xu, Junshui Ma, Andy Liaw, et al.
Pharmaceutical Research|December 5, 2022
Convolutional Neural Networks Enable Highly Accurate and Automated Subvisible Particulate Classification of BiopharmaceuticalsShubing Wang, Andy Liaw, Yue-Ming Chen, et al.
Journal of Chemical Information and Modeling|January 31, 2015
Deep neural nets as a method for quantitative structure-activity relationshipsJunshui Ma, Robert P Sheridan, Andy Liaw, et al.
Journal of Chemical Information and Modeling|June 1, 2005
Boosting: an ensemble learning tool for compound classification and QSAR modelingVladimir Svetnik, Ting Wang, Christopher Tong, et al.
Pageof 4