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Bulletin of Mathematical Biology|March 16, 2007
A generalised age- and phase-structured model of human tumour cell populations both unperturbed and exposed to a range of cancer therapiesBritta Basse, Paolo UbezioMathematical Biosciences|May 16, 2006
Modelling the balance between quiescence and cell death in normal and tumour cell populationsLorenzo Spinelli, Alessandro Torricelli, Paolo Ubezio, et al.Ecology and Evolution|April 13, 2016
Mowing strategies for controlling Cirsium arvense in a permanent pasture in New Zealand compared using a matrix modelGraeme W Bourdôt, Britta Basse, Michael G CrippsJournal of Theoretical Biology|July 4, 2009
Using a stem cell and progeny model to illustrate the relationship between cell cycle times of in vivo human tumour cell tissue populations, in vitro primary cultures and the cell lines derived from themLiene Daukste, Britta Basse, Bruce C Baguley, et al.Bulletin of Mathematical Biology|August 24, 2012
Mathematical determination of cell population doubling times for multiple cell linesLiene Daukste, Britta Basse, Bruce C Baguley, et al.Progress in Biophysics and Molecular Biology|May 15, 2004
Modelling cell population growth with applications to cancer therapy in human tumour cell linesBritta Basse, Bruce C Baguley, Elaine S Marshall, et al.Bulletin of Mathematical Biology|May 17, 2005
Modelling the flow [corrected] cytometric data obtained from unperturbed human tumour cell lines: parameter fitting and comparisonBritta Basse, Bruce C Baguley, Elaine S Marshall, et al.Journal of Mathematical Biology|October 3, 2003
A mathematical model for analysis of the cell cycle in cell lines derived from human tumorsBritta Basse, Bruce C Baguley, Elaine S Marshall, et al.Journal of Mathematical Biology|January 20, 2005
Modelling cell death in human tumour cell lines exposed to the anticancer drug paclitaxelBritta Basse, Bruce C Baguley, Elaine S Marshall, et al.Pageof 1