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Figure S1. from Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computationGaskell, Jennifer ; Campioni, Nazareno ; Morales, Juan M. ; Husmeier, Dirk ; Torney, Colin J.The Royal Society 2022Texto completo disponível |
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Single-particle tracking in organelles: bridging the gap between local molecular dynamics and cellular traffickingParutto, Pierrefigshare 2022Texto completo disponível |
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Pathways Breast cancer Gallic Acid_fixed.pngNur Azizah, Normafigshare 2022Texto completo disponível |
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Describing woody plant traits - Woody Plant OntologyChaves, Inês ; Michotey, Célia ; Anger, Christel ; Jorge, Véronique ; Ehrenmann, François ; Jean, Frédéric ; Opgenoorth, Lars ; Miguel, Céliafigshare 2022Texto completo disponível |
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EPS graphs and Plots generated by the research projectR, Santhoshfigshare 2022Texto completo disponível |
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Clean Dataset Events On Mitochondrial Strands Training Setde Villiers, Jamesfigshare 2022Texto completo disponível |
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Parameters for experimental conditions and substitutions in the model descriptionsKolbe, Niklas ; Hexemer, Lorenz ; Bammert, Lukas-Malte ; Lower, Alexander ; Lukáčová-Medviďová, Mária ; Legewie, Stefanfigshare 2022Texto completo disponível |
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Dynamic variables and model equationsKolbe, Niklas ; Hexemer, Lorenz ; Bammert, Lukas-Malte ; Lower, Alexander ; Lukáčová-Medviďová, Mária ; Legewie, Stefanfigshare 2022Texto completo disponível |
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Kinetic model parametersKolbe, Niklas ; Hexemer, Lorenz ; Bammert, Lukas-Malte ; Lower, Alexander ; Lukáčová-Medviďová, Mária ; Legewie, Stefanfigshare 2022Texto completo disponível |