乙状窦函数
逻辑函数
增长模型
细胞生长
生物
分数(化学)
人口
细胞周期
生物系统
应用数学
数学
细胞
细胞生物学
计算机科学
统计
数理经济学
人工智能
化学
遗传学
医学
环境卫生
有机化学
人工神经网络
作者
F. Kozusko,M. F. Bourdeau
标识
DOI:10.1111/j.1365-2184.2007.00474.x
摘要
A class of sigmoid functions designated generalized von Bertalanffy, Gompertzian and generalized Logistic has been used to fit tumour growth data. Various models have been proposed to explain the biological significance and foundations of these functions. However, no model has been found to fully explain all three or the relationships between them.We propose a simple cancer cell population dynamics model that provides a biological interpretation for these sigmoids' ability to represent tumour growth.We show that the three sigmoids can be derived from the model and are in fact a single solution subject to the continuous variation of parameters describing the decay of the proliferation fraction and/or cell quiescence. We use the model to generate proliferation fraction profiles for each sigmoid and comment on the significance of the differences relative to cell cycle-specific and non-cell cycle-specific therapies.
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