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ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics.

, , , , , , , , , , , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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Ionotropic GABA receptors: modelling and design of selective ligands., , , , and . J. Cheminformatics, 2 (S-1): 49 (2010)Predicting Ligand Binding Modes from Neural Networks Trained on Protein-Ligand Interaction Fingerprints., , , , and . Journal of Chemical Information and Modeling, 53 (4): 763-772 (2013)ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics., , , , , , , , , and 2 other author(s). BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Industry-scale application and evaluation of deep learning for drug target prediction., , , , , , , , , and 9 other author(s). J. Cheminformatics, 12 (1): 26 (2020)SMURFF: A High-Performance Framework for Matrix Factorization Methods., , , , , , , , , and 3 other author(s). BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments., , , , , , , and . PARMA-DITAM@HiPEAC, page 1-6. ACM, (2018)Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics., , , , , , , , , and 3 other author(s). J. Cheminformatics, 9 (1): 41:1 (2017)ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics., , , , , , , , , and 3 other author(s). J. Cheminformatics, 9 (1): 17:1-17:9 (2017)Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC., , , , , , , and . MLSP, page 1-6. IEEE, (2017)HyperLoom Possibilities for Executing Scientific Workflows on the Cloud., , , , , and . CISIS, volume 611 of Advances in Intelligent Systems and Computing, page 397-406. Springer, (2017)