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Glioblastoma–Neuroblastoma co-cultured multicellular spheroid model for evaluating Temozolomide responsePreprint

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Sensitivity of signaling pathway dynamics to plasmid transfection and its consequences

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Modelling Molecular Mechanisms of Cancer Pathogenesis: Virtual Patients, Real Opportunities

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Applying molecular communication theory to estimate information loss in cell signal transduction

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Estimation of Ordinary Differential Equation Models for Gene Regulatory Networks Through Data Cloning

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Cancer Growth Inhibition Using Predictive Mathematical Models of Signaling Pathways

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Cancer Systems Biology: Current Achievements in – Omics Data Analysis, Network Reconstruction and Mathematical Modelling

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Systematic analysis of network-driven adaptive resistance to CDK4/6 and oestrogen receptor inhibition using meta-dynamic network modellingPreprint

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Exploring the role of EMT in Ovarian Cancer Progression: Insights from a multiscale mathematical modelPreprint

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Between Pathways and Networks Lies Context: Implications for Precision Medicine

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Deterministic Modeling of Stochastic Gene Transcription Processes

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Signalling and crosstalk in cytokine pathways: mathematical modelling and quantitative analysis

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Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network ModellingPreprint

Hart, A., Shin, S., & Nguyen, L. K. (2023) · doi:10.7554/elife.87710.1

Author Response: Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network Modelling

Hart, A., Shin, S., & Nguyen, L. K. (2023) · doi:10.7554/elife.87710.1.sa2

Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network ModellingPreprint

Hart, A., Shin, S., & Nguyen, L. K. (2026) · eLife · doi:10.7554/elife.87710.2

VEGFR2 dimerization kinetics on the cell surface determined by microscopy and mathematical modeling

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Cancer Growth Inhibition Using Predictive Mathematical Models of Signaling Pathways

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Mathematical Tools in Cancer Signalling Systems Biology

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Mathematical Modelling of Signalling Networks in Cancer

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From regulation of cell fate decisions towards patient-specific treatments, insights from mechanistic models of signalling pathways

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