John W. Davies

Publication Activity (10 Years)

Years Active: 2004-2017
Publications (10 Years): 1

Top Topics

Convolutional Neural Network

Multiple Scales

Top Venues

Publications

William J. Godinez, Imtiaz Hossain, Stanley E. Lazic, John W. Davies, Xian Zhang
A multi-scale convolutional neural network for phenotyping high-content cellular images. Bioinform. 33 (13) (2017)
Andreas Bender, Jeremy L. Jenkins, Josef Scheiber, Sai Chetan K. Sukuru, Meir Glick, John W. Davies
How Similar Are Similarity Searching Methods? A Principal Component Analysis of Molecular Descriptor Space. J. Chem. Inf. Model. 49 (1) (2009)
Josef Scheiber, Jeremy L. Jenkins, Andreas Bender, Mariusz Milik, Dmitri Mikhailov, Sai Chetan K. Sukuru, Ben Cornett, Steven Whitebread, Laszlo Urban, John W. Davies, Meir Glick
SPREAD - exploiting chemical features that cause differential activity behavior. Stat. Anal. Data Min. 2 (2) (2009)
Josef Scheiber, Bin Chen, Mariusz Milik, Sai Chetan K. Sukuru, Andreas Bender, Dmitri Mikhailov, Steven Whitebread, Jacques Hamon, Kamal Azzaoui, Laszlo Urban, Meir Glick, John W. Davies, Jeremy L. Jenkins
Gaining Insight into Off-Target Mediated Effects of Drug Candidates with a Comprehensive Systems Chemical Biology Analysis. J. Chem. Inf. Model. 49 (2) (2009)
Thomas J. Crisman, Christian N. Parker, Jeremy L. Jenkins, Josef Scheiber, Mathis Thoma, Zhao Bin Kang, Richard Kim, Andreas Bender, James H. Nettles, John W. Davies, Meir Glick
Understanding False Positives in Reporter Gene Assays: in Silico Chemogenomics Approaches To Prioritize Cell-Based HTS Data. J. Chem. Inf. Model. 47 (4) (2007)
Andreas Bender, Jeremy L. Jenkins, Meir Glick, Zhan Deng, James H. Nettles, John W. Davies
"Bayes Affinity Fingerprints" Improve Retrieval Rates in Virtual Screening and Define Orthogonal Bioactivity Space: When Are Multitarget Drugs a Feasible Concept? J. Chem. Inf. Model. 46 (6) (2006)
Nidhi, Meir Glick, John W. Davies, Jeremy L. Jenkins
Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases. J. Chem. Inf. Model. 46 (3) (2006)
Meir Glick, Jeremy L. Jenkins, James H. Nettles, Hamilton Hitchings, John W. Davies
Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers. J. Chem. Inf. Model. 46 (1) (2006)
Anthony E. Klon, Meir Glick, John W. Davies
Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease. J. Chem. Inf. Model. 44 (6) (2004)