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Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients., , , , , , , , , and 2 other author(s). BMC Medical Informatics Decis. Mak., 22 (1): 224 (2022)The Pharmacophore Kernel for Virtual Screening with Support Vector Machines., , , and . Journal of Chemical Information and Modeling, 46 (5): 2003-2014 (2006)LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes., , and . PLoS Comput. Biol., (2019)Multitask Feature Selection with Task Descriptors., , and . PSB, page 261-272. (2016)Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions., , , and . J. Chem. Inf. Model., 51 (5): 1183-1194 (2011)A New N-Channel Maximum Entropy Method in NMR for Automatic Reconstruction of "Decoupled Spectra" and J-Coupling Determination., , , and . Journal of Chemical Information and Computer Sciences, 37 (2): 265-272 (1997)Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers., , , , and . Bioinform., 28 (18): 487-494 (2012)Relating drug-protein interaction network with drug side effects., , , , and . Bioinform., 28 (18): 522-528 (2012)Predicting drug side-effect profiles: a chemical fragment-based approach., , and . BMC Bioinform., (2011)Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity., and . J. Cheminformatics, 12 (1): 11 (2020)