John W. Davies

发表

SPREAD—exploiting chemical features that cause differential activity behavior

Andreas Bender, Meir Glick, Ben Cornett, 2009 .

A multi‐scale convolutional neural network for phenotyping high‐content cellular images

Xian Zhang, John W. Davies, Imtiaz Hossain, 2017, Bioinform..

Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases

Meir Glick, Jeremy L. Jenkins, John W. Davies, 2006, J. Chem. Inf. Model..

Graphical communication and design

John W. Davies, 2016 .

Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers

Meir Glick, Jeremy L. Jenkins, John W. Davies, 2006, J. Chem. Inf. Model..

"Bayes Affinity Fingerprints" Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept?

Andreas Bender, Meir Glick, Jeremy L. Jenkins, 2006, J. Chem. Inf. Model..

How Similar Are Similarity Searching Methods? A Principal Component Analysis of Molecular Descriptor Space

Andreas Bender, Meir Glick, Jeremy L. Jenkins, 2009, J. Chem. Inf. Model..

Understanding False Positives in Reporter Gene Assays: in Silico Chemogenomics Approaches To Prioritize Cell-Based HTS Data

Andreas Bender, Meir Glick, Jeremy L. Jenkins, 2007, J. Chem. Inf. Model..

Number and data presentation

John W. Davies, 2016 .

Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease

Meir Glick, John W. Davies, Anthony E. Klon, 2004, J. Chem. Inf. Model..

Gaining Insight into Off-Target Mediated Effects of Drug Candidates with a Comprehensive Systems Chemical Biology Analysis

Bin Chen, Andreas Bender, Meir Glick, 2009, J. Chem. Inf. Model..