Attila Gabor
Attila Gabor
Computational Biomedicine, Heidelberg University
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Cited by
Cited by
Robust and efficient parameter estimation in dynamic models of biological systems
A Gábor, JR Banga
BMC systems biology 9 (1), 1-25, 2015
AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology
E Balsa-Canto, D Henriques, A Gábor, JR Banga
Bioinformatics 32 (21), 3357-3359, 2016
Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems
A Gábor, AF Villaverde, JR Banga
BMC systems biology 11 (1), 1-16, 2017
Modeling and identification of a nuclear reactor with temperature effects and xenon poisoning
A Gábor, C Fazekas, G Szederkényi, KM Hangos
European journal of control 17 (1), 104-115, 2011
Model complexity reduction of chemical reaction networks using mixed-integer quadratic programming
R Hannemann-Tamás, A Gabor, G Szederkenyi, KM Hangos
Computers & Mathematics with Applications 65 (10), 1575-1595, 2013
Analysis of the human kinome and phosphatome by mass cytometry reveals overexpression-induced effects on cancer-related signaling
XK Lun, D Szklarczyk, A Gábor, N Dobberstein, VRT Zanotelli, ...
Molecular cell 74 (5), 1086-1102. e5, 2019
Bringing data from curated pathway resources to Cytoscape with OmniPath
F Ceccarelli, D Turei, A Gabor, J Saez-Rodriguez
Bioinformatics 36 (8), 2632-2633, 2020
Reaction network realizations of rational biochemical systems and their structural properties
A Gábor, KM Hangos, JR Banga, G Szederkényi
Journal of Mathematical Chemistry 53 (8), 1657-1686, 2015
Model reduction in bio-chemical reaction networks with Michaelis-Menten kinetics
KM Hangos, A Gábor, G Szederkényi
2013 European Control Conference (ECC), 4478-4483, 2013
Improved parameter estimation in kinetic models: selection and tuning of regularization methods
A Gábor, JR Banga
International Conference on Computational Methods in Systems Biology, 45-60, 2014
A computational approach to the structural analysis of uncertain kinetic systems
B Ács, G Szlobodnyik, G Szederkényi
Computer Physics Communications 228, 83-95, 2018
Linear conjugacy in biochemical reaction networks with rational reaction rates
A Gábor, KM Hangos, G Szederkényi
Journal of Mathematical Chemistry 54 (8), 1658-1676, 2016
Converting networks to predictive logic models from perturbation signalling data with CellNOpt
E Gjerga, P Trairatphisan, A Gabor, H Koch, C Chevalier, F Ceccarelli, ...
Bioinformatics 36 (16), 4523-4524, 2020
Modeling and identification of the pressurizer of a VVER nuclear reactor for controller design purposes
A Gábor, K Hangos, G Szederkényi
Univ. of Pannonia, 2010
Causal integration of multi‐omics data with prior knowledge to generate mechanistic hypotheses
A Dugourd, C Kuppe, M Sciacovelli, E Gjerga, A Gabor, KB Emdal, ...
Molecular systems biology 17 (1), e9730, 2021
Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data
J Tanevski, T Nguyen, B Truong, N Karaiskos, ME Ahsen, X Zhang, C Shu, ...
BioRxiv, 796029, 2019
Control-oriented modelling of the primary circuit and its controllers of a PWR nuclear power plant
A Gábor, I Sonnevend, T Bartha
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
Explainable multi-view framework for dissecting inter-cellular signaling from highly multiplexed spatial data
J Tanevski, ROR Flores, A Gabor, D Schapiro, J Saez-Rodriguez
BioRxiv, 2020
On the Verification and Correction of Large-Scale Kinetic Models in Systems Biology
A Gábor, KM Hangos, G Szederkényi, JR Banga
International Conference on Computational Methods in Systems Biology, 206-219, 2013
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