Dynamics of cancer progression

478 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems (2018, background): “In this setting, one may be only able to postulate crude and potentially overly simpliﬁed models based on a given a set of empirical observations (see e.g., models for tumor growth [2], social dynamics [3], and the stock market [4]).”
Tumor heterogeneity: causes and consequences (2009, background): “geneous populations, competitive interaction results in the fixation of a clone with the highest fitness value [75,109].”
Genetic Progression and the Waiting Time to Cancer (2007, background): “The initial two-hit theory has evolved into more elaborate models 12 incorporating multiple hits, rate-limiting events and genomic instability [4,17,18,19,20,21,22].”
Cancer Evolution: Mathematical Models and Computational Inference (2014, background): “where Nu 1 is the rate of evolution (Michor et al. 2004).”
Mathematical Models of Avascular Tumor Growth (2007, unknown): “There is a lot of controversy over how exactly cancer is initiated, but it is a generally accepted view that it requires several gene mutations to turn a normal cell into a cancer cell (see the recent review [2]).”