Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection.
T J SegoJosua O Aponte-SerranoJuliano F GianlupiJames A GlazierPublished in: BMC biology (2021)
We developed and demonstrate a method for generating spatiotemporal, multicellular models from non-spatial population dynamics models of multicellular systems. We envision employing our method to generate new ODE model terms from spatiotemporal and multicellular models, recast popular ODE models on a cellular basis, and generate better models for critical applications where spatial and stochastic features affect outcomes.
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