Author of the publication

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Fusing Dual-Event Data Sets for Mycobacterium tuberculosis Machine Learning Models and Their Evaluation., , and . Journal of Chemical Information and Modeling, 53 (11): 3054-3063 (2013)Open Source Bayesian Models. 3. Composite Models for Prediction of Binned Responses., , and . Journal of Chemical Information and Modeling, 56 (2): 275-285 (2016)Open Source Bayesian Models. 2. Mining a "Big Dataset" To Create and Validate Models with ChEMBL., and . Journal of Chemical Information and Modeling, 55 (6): 1246-1260 (2015)Challenges Predicting Ligand-Receptor Interactions of Promiscuous Proteins: The Nuclear Receptor PXR., , , , , , and . PLoS Comput. Biol., (2009)Quantum Machine Learning Algorithms for Drug Discovery Applications., , , , , , and . J. Chem. Inf. Model., 61 (6): 2641-2647 (2021)Finding small molecules for the 'next Ebola'., , and . F1000Research, (2015)Machine learning models identify molecules active against the Ebola virus in vitro., , , , , and . F1000Research, (2015)Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015)., , , , and . Journal of Chemical Information and Modeling, 56 (7): 1332-1343 (2016)Are Bigger Data Sets Better for Machine Learning? Fusing Single-Point and Dual-Event Dose Response Data for Mycobacterium tuberculosis., , and . Journal of Chemical Information and Modeling, 54 (7): 2157-2165 (2014)Looking Back to the Future: Predicting in Vivo Efficacy of Small Molecules versus Mycobacterium tuberculosis., , , , , and . Journal of Chemical Information and Modeling, 54 (4): 1070-1082 (2014)