Cancer: Modeling evolution and natural selection, the „Mitosis Game“
Affiliation: Albert-Ludwigs Universität, Freiburg, Germany
Keywords: cancer, cancer progression, evolution, population genetics, probabilistic graphical models, cancer genetics, microenvironment, cancer therapy, computational biology and bioinformatics, genetics, simulation, real time imaging, in silico
Categories: Artificial Intelligence, Modeling and Simulation
We have previously analyzed and discussed the importance of cellular evolution for oncogenesis and the clinical course of malignant disease. In view of the complexity of the genetic phenomena and the effects of environment and chance, we have designed a tool to both, better understand and to facilitate studying evolution in silico. After review of the literature and of evolutionary algorithms (see Reading List in pdf document) we have developed a conceptual framework for describing, understanding and modeling evolutionary processes. As a result, we have identified ten key intrinsic parameters of cells, which we would like to call “The Hallmarks of Evolution”.