Application of Adjoint Sensitivity Analysis to Parameter Estimation of Age-Structured Model of Cell Cycle

Age-structured models describe heterogeneous populations of individuals. Life of the individual consist of a finite number of phases, which differ in properties such as the ability to reproduce. This approach allows more realistic modelling of the population growth than using models assuming homogeneity of the population, which is especially important for complex organisms with long reproduction time. The aim of this study was to develop a methodology to estimate parameters of the age-structured model of cell cycle using adjoint sensitivity analysis. Results were obtained for artificially generated input data.