Jovan Tanevski
Jovan Tanevski
Heidelberg University Hospital, Heidelberg, Germany
Verified email at - Homepage
Cited by
Cited by
Best practices for single-cell analysis across modalities
L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ...
Nature Reviews Genetics 24 (8), 550-572, 2023
Spatial multi-omic map of human myocardial infarction
C Kuppe, RO Ramirez Flores, Z Li, S Hayat, RT Levinson, X Liao, ...
Nature 608 (7924), 766-777, 2022
Deep spatial profiling of human COVID-19 brains reveals neuroinflammation with distinct microanatomical microglia-T-cell interactions
M Schwabenland, H Salié, J Tanevski, S Killmer, MS Lago, AE Schlaak, ...
Immunity 54 (7), 1594-1610. e11, 2021
Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data
CH Holland, J Tanevski, J Perales-Patón, J Gleixner, MP Kumar, E Mereu, ...
Genome biology 21, 1-19, 2020
Explainable multiview framework for dissecting spatial relationships from highly multiplexed data
J Tanevski, ROR Flores, A Gabor, D Schapiro, J Saez-Rodriguez
Genome biology 23 (1), 97, 2022
Multi-level information fusion for learning a blood pressure predictive model using sensor data
M Simjanoska, S Kochev, J Tanevski, AM Bogdanova, G Papa, T Eftimov
Information Fusion 58, 24-39, 2020
Learning stochastic process-based models of dynamical systems from knowledge and data
J Tanevski, L Todorovski, S Džeroski
BMC systems biology 10, 1-17, 2016
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ...
Life Science Alliance 3 (11), 2020
Predictive model for the quantitative analysis of human skin using photothermal radiometry and diffuse reflectance spectroscopy
N Verdel, J Tanevski, S Džeroski, B Majaron
Biomedical Optics Express 11 (3), 1679-1696, 2020
Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd
A Gabor, M Tognetti, A Driessen, J Tanevski, B Guo, W Cao, H Shen, T Yu, ...
Molecular systems biology 17 (10), e10402, 2021
LIANA+: an all-in-one cell-cell communication framework
D Dimitrov, PSL Schäfer, E Farr, P Rodriguez Mier, S Lobentanzer, ...
BioRxiv, 2023.08. 19.553863, 2023
Combinatorial search for selecting the structure of models of dynamical systems with equation discovery
J Tanevski, L Todorovski, S Džeroski
Engineering Applications of Artificial Intelligence 89, 103423, 2020
Process-based design of dynamical biological systems
J Tanevski, L Todorovski, S Džeroski
Scientific reports 6 (1), 34107, 2016
Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis
J Tanevski, L Todorovski, Y Kalaidzidis, S Dzeroski
BMC Systems Biology 9 (31), 2015
Decoupling approximation robustly reconstructs directed dynamical networks
N Simidjievski, J Tanevski, B Ženko, Z Levnajić, L Todorovski, S Džeroski
New Journal of Physics 20 (11), 113003, 2018
Process-based modeling and design of dynamical systems
J Tanevski, N Simidjievski, L Todorovski, S Džeroski
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems
Ž Lukšič, J Tanevski, S Džeroski, L Todorovski
IEEE Access 7, 181829 - 181841, 2019
A machine-learning model for quantitative characterization of human skin using photothermal radiometry and diffuse reflectance spectroscopy
N Verdel, J Tanevski, S Džeroski, B Majaron
Photonics in Dermatology and Plastic Surgery 2019 10851, 1085107, 2019
Hybrid technique for characterization of human skin by combining machine learning and inverse Monte Carlo approach
N Verdel, J Tanevski, S Džeroski, B Majaron
European Conference on Biomedical Optics, 11075_54, 2019
General meta-model framework for surrogate-based numerical optimization
Ž Lukšič, J Tanevski, S Džeroski, L Todorovski
Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017
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