Browsing Department of Mathematical Sciences / Institutionen för matematiska vetenskaper by Subject "yeast, nutrient sensing, single-cell, self-assembly, Cdc42, reaction-diffusion models, ordinary differential equations, parameter estimation"
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Enabling mechanistic understanding of cellular dynamics through mathematical modelling and development of efficient methods
(2024-11-13)Cell biology is complex, but unravelling this complexity is important. For example, the recent COVID-19 pandemic highlighted the need to understand how cells function in order to develop efficient vaccines and treatments. ...