Meir Glick

List of publications from the DBLP Bibliography Server - FAQ

2006

5 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)

4 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

3 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)

2002

2 EE E. Keith Davies, Meir Glick, Karl N. Harrison, W. Graham Richards: Pattern recognition and massively distributed computing. Journal of Computational Chemistry 23(16): 1544-1550 (2002)

1993

1 EE Amiram Goldblum, Anwar Rayan, Amit Fliess, Meir Glick: Extending crystallographic information with semiempirical quantum mechanics and molecular mechanics: A case of aspartic proteinases. Journal of Chemical Information and Computer Sciences 33(2): 270-274 (1993)

2006
5	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)
4	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
3	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)
2002
2	EE	E. Keith Davies, Meir Glick, Karl N. Harrison, W. Graham Richards: Pattern recognition and massively distributed computing. Journal of Computational Chemistry 23(16): 1544-1550 (2002)
1993
1	EE	Amiram Goldblum, Anwar Rayan, Amit Fliess, Meir Glick: Extending crystallographic information with semiempirical quantum mechanics and molecular mechanics: A case of aspartic proteinases. Journal of Chemical Information and Computer Sciences 33(2): 270-274 (1993)

Coauthor Index