Jeremy L. Jenkins

List of publications from the DBLP Bibliography Server - FAQ

2006

2 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)

1 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)

2006
2	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)
1	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)

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