Ádám Arany
Cited by
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Repurposing high-throughput image assays enables biological activity prediction for drug discovery
J Simm, G Klambauer, A Arany, M Steijaert, JK Wegner, E Gustin, ...
Cell chemical biology 25 (5), 611-618. e3, 2018
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
E De Brouwer, J Simm, A Arany, Y Moreau
Advances in Neural Information Processing Systems, 7379-7390, 2019
Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC
J Simm, A Arany, P Zakeri, T Haber, JK Wegner, V Chupakhin, ...
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
Pharmacogenetic analysis of high-dose methotrexate treatment in children with osteosarcoma
M Hegyi, A Arany, AF Semsei, K Csordas, O Eipel, A Gezsi, N Kutszegi, ...
Oncotarget 8 (6), 9388, 2017
Macau: scalable bayesian multi-relational factorization with side information using MCMC
J Simm, A Arany, P Zakeri, T Haber, JK Wegner, V Chupakhin, ...
arXiv preprint arXiv:1509.04610, 2015
Drug repositioning for treatment of movement disorders: from serendipity to rational discovery strategies
B Bolgár, Á Arany, G Temesi, B Balogh, P Antal, P Mátyus
Current topics in medicinal chemistry 13 (18), 2337-2363, 2013
ChemGrapher: optical graph recognition of chemical compounds by deep learning
M Oldenhof, A Arany, Y Moreau, J Simm
Journal of Chemical Information and Modeling 60 (10), 4506-4517, 2020
Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information
P Zakeri, J Simm, A Arany, S ElShal, Y Moreau
Bioinformatics 34 (13), i447-i456, 2018
Multi-aspect candidates for repositioning: data fusion methods using heterogeneous information sources
A Arany, B Bolgár, B Balogh, P Antal, P Mátyus
Current medicinal chemistry 20 (1), 95-107, 2013
Early repositioning through compound set enrichment analysis: a knowledge-recycling strategy
G Temesi, B Bolgár, Á Arany, C Szalai, P Antal, P Mátyus
Future medicinal chemistry 6 (5), 563-575, 2014
Secure Broker-Mediated Data Analysis and Prediction
H Ceulemans, R Wuyts, W Verachtert, J Simm, A Arany, YJL Moreau, ...
US Patent App. 15/722,742, 2019
Genetic variability of the oxytocine receptor: an in silico study
P Marx, A Arany, Z Rónai, P Antal, M Sasvári-Szekely
Neuropsychopharmacologia Hungarica: a Magyar Pszichofarmakologiai Egyesulet …, 2011
A novel method for data fusion over entity-relation graphs and its application to protein–protein interaction prediction
D Raimondi, J Simm, A Arany, Y Moreau
Bioinformatics 37 (16), 2275-2281, 2021
An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients
D Raimondi, J Simm, A Arany, P Fariselli, I Cleynen, Y Moreau
NAR Genomics and Bioinformatics 2 (1), lqaa011, 2020
Latent Convergent Cross Mapping
E De Brouwer, A Arany, J Simm, Y Moreau
International Conference on Learning Representations, 2020
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification
E De Brouwer, J Simm, A Arany, Y Moreau
arXiv preprint arXiv:1811.10501, 2018
Highly Scalable Tensor Factorization for Prediction of Drug-Protein Interaction Type
A Arany, J Simm, P Zakeri, T Haber, JK Wegner, V Chupakhin, ...
arXiv preprint arXiv:1512.00315, 2015
A comprehensive comparison of two MEDLINE annotators for disease and gene linkage: sometimes less is more
S ElShal, J Simm, A Arany, P Zakeri, J Davis, Y Moreau
International Conference on Bioinformatics and Biomedical Engineering, 765-778, 2016
Expressive Graph Informer Networks
J Simm, A Arany, ED Brouwer, Y Moreau
International Conference on Machine Learning, Optimization, and Data Science …, 2021
Graph Informer Networks for Molecules
J Simm, A Arany, E De Brouwer, Y Moreau
arXiv preprint arXiv:1907.11318, 2019
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