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Andy Liaw

Showing results (11-20 of 34) with videos related to

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Journal of Chemical Information and Modeling|December 14, 2016
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P Sheridan, Wei Min Wang, Andy Liaw, et al.
Journal of Chemical Information and Computer Sciences|November 25, 2003
Random forest: a classification and regression tool for compound classification and QSAR modelingVladimir Svetnik, Andy Liaw, Christopher Tong, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals|April 30, 2022
Selection of an Optimal In Vitro Model to Assess P-gp Inhibition: Comparison of Vesicular and Bidirectional Transcellular Transport Inhibition AssaysJocelyn Yabut, Robert Houle, Shubing Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 15, 2010
Quantitative analysis of intact apolipoproteins in human HDL by top-down differential mass spectrometryMatthew T Mazur, Helene L Cardasis, Daniel S Spellman, et al.
Biomarkers : Biochemical Indicators of Exposure, Response, and Susceptibility to Chemicals|December 24, 2009
Potential biomarkers of muscle injury after eccentric exerciseKathy E Sietsema, Fanyu Meng, Nathan A Yates, et al.
Journal of Chemical Information and Modeling|March 25, 2020
Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models?Robert P Sheridan, Prabha Karnachi, Matthew Tudor, et al.
Metabolism: Clinical and Experimental|May 20, 2017
siRNA-mediated inhibition of SREBP cleavage-activating protein reduces dyslipidemia in spontaneously dysmetabolic rhesus monkeysBeth Ann Murphy, Marija Tadin-Strapps, Kristian Jensen, et al.
Journal of Chemical Information and Modeling|April 7, 2020
Deep Dive into Machine Learning Models for Protein EngineeringYuting Xu, Deeptak Verma, Robert P Sheridan, et al.
Frontiers in Digital Health|January 27, 2025
A novel machine learning based framework for developing composite digital biomarkers of disease progressionSong Zhai, Andy Liaw, Judong Shen, et al.
Scientific Reports|May 19, 2025
Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccineFederico Ferrari, Jordan Berger, Linda Lemieux, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Journal of Chemical Information and Modeling|December 14, 2016
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsRobert P Sheridan, Wei Min Wang, Andy Liaw, et al.
Journal of Chemical Information and Computer Sciences|November 25, 2003
Random forest: a classification and regression tool for compound classification and QSAR modelingVladimir Svetnik, Andy Liaw, Christopher Tong, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals|April 30, 2022
Selection of an Optimal In Vitro Model to Assess P-gp Inhibition: Comparison of Vesicular and Bidirectional Transcellular Transport Inhibition AssaysJocelyn Yabut, Robert Houle, Shubing Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 15, 2010
Quantitative analysis of intact apolipoproteins in human HDL by top-down differential mass spectrometryMatthew T Mazur, Helene L Cardasis, Daniel S Spellman, et al.
Biomarkers : Biochemical Indicators of Exposure, Response, and Susceptibility to Chemicals|December 24, 2009
Potential biomarkers of muscle injury after eccentric exerciseKathy E Sietsema, Fanyu Meng, Nathan A Yates, et al.
Journal of Chemical Information and Modeling|March 25, 2020
Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models?Robert P Sheridan, Prabha Karnachi, Matthew Tudor, et al.
Metabolism: Clinical and Experimental|May 20, 2017
siRNA-mediated inhibition of SREBP cleavage-activating protein reduces dyslipidemia in spontaneously dysmetabolic rhesus monkeysBeth Ann Murphy, Marija Tadin-Strapps, Kristian Jensen, et al.
Journal of Chemical Information and Modeling|April 7, 2020
Deep Dive into Machine Learning Models for Protein EngineeringYuting Xu, Deeptak Verma, Robert P Sheridan, et al.
Frontiers in Digital Health|January 27, 2025
A novel machine learning based framework for developing composite digital biomarkers of disease progressionSong Zhai, Andy Liaw, Judong Shen, et al.
Scientific Reports|May 19, 2025
Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccineFederico Ferrari, Jordan Berger, Linda Lemieux, et al.
Pageof 4