TRANSWESD: inferring cellular networks with transitive reduction S Klamt, RJ Flassig, K Sundmacher Bioinformatics 26 (17), 2160-2168, 2010 | 47 | 2010 |
Knowledge based 2D blade design using multi-objective aerodynamic optimization and a neural network A Huppertz, PM Flassig, RJ Flassig, M Swoboda Turbo Expo: Power for Land, Sea, and Air 47950, 413-423, 2007 | 47 | 2007 |
Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae. RJ Flassig, M Fachet, K Höffner, P Barton, K Sundmacher Biotechnol Biofuels 4 (9), 165, 2016 | 44 | 2016 |
Probabilistic reactor design in the framework of elementary process functions NM Kaiser, RJ Flassig, K Sundmacher Computers & Chemical Engineering 94, 45-59, 2016 | 43 | 2016 |
Reactor-network synthesis via flux profile analysis NM Kaiser, RJ Flassig, K Sundmacher Chemical Engineering Journal 335, 1018-1030, 2018 | 39 | 2018 |
Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks RJ Flassig, K Sundmacher Bioinformatics 28 (23), 3089-3096, 2012 | 39 | 2012 |
Quantitative single cell analysis uncovers the life/death decision in CD95 network JH Buchbinder, D Pischel, K Sundmacher, RJ Flassig, IN Lavrik PLoS computational biology 14 (9), e1006368, 2018 | 31 | 2018 |
A dynamic growth model of Dunaliella salina: Parameter identification and profile likelihood analysis M Fachet, RJ Flassig, L Rihko-Struckmann, K Sundmacher Bioresource technology 173, 21-31, 2014 | 30 | 2014 |
Energy and operating cost assessment of competing harvesting methods for D. salina in a β-carotene production process K Pirwitz, RJ Flassig, LK Rihko-Struckmann, K Sundmacher Algal research 12, 161-169, 2015 | 26 | 2015 |
Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation A Pinna, S Heise, RJ Flassig, A Fuente, S Klamt BMC systems biology 7, 1-19, 2013 | 26 | 2013 |
Dynamic and steady state 1-D model of mediated electron transfer in a porous enzymatic electrode TQN Do, M Varničić, RJ Flassig, T Vidaković-Koch, K Sundmacher Bioelectrochemistry 106, 3-13, 2015 | 25 | 2015 |
A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data D Pischel, JH Buchbinder, K Sundmacher, IN Lavrik, RJ Flassig PLoS One 13 (5), e0197208, 2018 | 24 | 2018 |
Optimal reactor design via flux profile analysis for an integrated hydroformylation process NM Kaiser, M Jokiel, K McBride, RJ Flassig, K Sundmacher Industrial & Engineering Chemistry Research 56 (40), 11507-11518, 2017 | 24 | 2017 |
An effective framework for reconstructing gene regulatory networks from genetical genomics data RJ Flassig, S Heise, K Sundmacher, S Klamt Bioinformatics 29 (2), 246-254, 2013 | 22 | 2013 |
Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina M Fachet, C Witte, RJ Flassig, LK Rihko-Struckmann, Z McKie-Krisberg, ... BMC bioinformatics 21, 1-9, 2020 | 16 | 2020 |
Experimental design, validation and computational modeling uncover DNA damage sensing by DNA-PK and ATM RJ Flassig, G Maubach, C Täger, K Sundmacher, M Naumann Molecular biosystems 10 (7), 1978-1986, 2014 | 15 | 2014 |
Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems D Pischel, K Sundmacher, RJ Flassig Bioinformatics 33 (14), i319-i324, 2017 | 11 | 2017 |
Symmetry breaking and emergence of directional flows in minimal actomyosin cortices SK Vogel, C Wölfer, DA Ramirez-Diaz, RJ Flassig, K Sundmacher, ... Cells 9 (6), 1432, 2020 | 9 | 2020 |
Model-based design of experiments: where to go RJ Flassig, R Schenkendorf Ninth Vienna Internatioal Conference on Mathematical Modelling, 875-876, 2018 | 9 | 2018 |
Energy technologies for decarbonizing the steel processing industry–a numerical study T Goschin, M Vogel, R Flassig IFAC-PapersOnLine 55 (9), 1-5, 2022 | 7 | 2022 |