Andy Liaw

发表

Statistical and Graphical Methods for Quality Control Determination of High-Throughput Screening Data

Bert Gunter, Christine Brideau, Bill Pikounis, 2003, Journal of biomolecular screening.

Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees

Andy Liaw, Vladimir Svetnik, Robert P Sheridan, 2019, J. Chem. Inf. Model..

Generating hypotheses about molecular structure-activity relationships (SARs) by solving an optimization problem

Robert P. Sheridan, Andy Liaw, Junshui Ma, 2009, Stat. Anal. Data Min..

Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships

Andy Liaw, Junshui Ma, Vladimir Svetnik, 2017, J. Chem. Inf. Model..

Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships

Andy Liaw, Junshui Ma, Wei Min Wang, 2016, J. Chem. Inf. Model..

Profiling Diverse Chemical Space to Map the Druggable Proteome

Andy Liaw, Francisco Garcia, Huijun Wang, 2018, BCB.

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships

Robert P. Sheridan, Andy Liaw, Junshui Ma, 2015, J. Chem. Inf. Model..

Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling

Ting Wang, Robert P. Sheridan, Andy Liaw, 2005, J. Chem. Inf. Model..

Classification and Regression by randomForest

Andy Liaw, Matthew C. Wiener, Andy Liaw, 2007 .

Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules

Ting Wang, Andy Liaw, Vladimir Svetnik, 2004, Multiple Classifier Systems.

Data Analysis Approaches for High Content Screening

Grace Ka Yan Chan, Andy Liaw, Amir A. Handzel, 2012 .

Improved Statistical Methods for Hit Selection in High-Throughput Screening

Bert Gunter, Christine Brideau, Bill Pikounis, 2003, Journal of biomolecular screening.

Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling

Robert P. Sheridan, Andy Liaw, Vladimir Svetnik, 2003, J. Chem. Inf. Comput. Sci..

Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships pdf

Robert P. Sheridan, Andy Liaw, Matthew Tudor, 2021, ArXiv.

Expression of Cosmid-Size DNA of Slow-Growing Fungi in Aspergillus Nidulans for Secondary Metabolite Screening

Bert Gunter, Andy Liaw, Vladimir Svetnik, 2004 .

Variable Selection in Random Forest with Application to Quantitative Structure-Activity Relationship

Andy Liaw, Vladimir Svetnik, Christopher Tong, 2003 .

Various R Programming Tools for Plotting Data [R package gplots version 3.1.0]

Wolfgang Huber, Robert Gentleman, Andy Liaw, 2020 .

New machine learning tools for predictive vegetation mapping after climate change: Bagging and Random Forest perform better than Regression Tree Analysis.

Andy Liaw, Louis R. Iverson, Anantha M. Prasad, 2004 .