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A paradigm for data-driven predictive modeling using field inversion and machine learning
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Monte Carlo simulation for kinetic chemotaxis model: An application to the traveling population wave
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Lee, Seungjoon; Kooshkbaghi, Mahdi; Spiliotis, Konstantinos
Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 30, Issue 1
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DISCRETE- vs. CONTINUOUS-TIME NONLINEAR SIGNAL PROCESSING OF Cu ELECTRODISSOLUTION DATA
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An intracellular signaling hierarchy determines direction of migration in opposing chemotactic gradients
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Tactile interactions lead to coherent motion and enhanced chemotaxis of migrating cells
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Simulating Individual-Based Models of Bacterial Chemotaxis with Asymptotic Variance Reduction
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Oscillatory ERK Signaling and Morphology Determine Heterogeneity of Breast Cancer Cell Chemotaxis via MEK-ERK and p38-MAPK Signaling Pathways
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Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
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