John W. Davies

List of publications from the DBLP Bibliography Server - FAQ

2006

3 EE 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. Journal of Chemical Information and Modeling 46(1): 193-200 (2006)

2 EE Nidhi, Meir Glick, John W. Davies, Jeremy L. Jenkins: Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases. Journal of Chemical Information and Modeling 46(3): 1124-1133 (2006)

2004

1 EE 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. Journal of Chemical Information and Modeling 44(6): 2216-2224 (2004)

2006
3	EE	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. Journal of Chemical Information and Modeling 46(1): 193-200 (2006)
2	EE	Nidhi, Meir Glick, John W. Davies, Jeremy L. Jenkins: Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases. Journal of Chemical Information and Modeling 46(3): 1124-1133 (2006)
2004
1	EE	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. Journal of Chemical Information and Modeling 44(6): 2216-2224 (2004)

Coauthor Index