tugHall: A Tool to Reproduce Darwinian Evolution of Cancer Cells for Simulation-Based Personalized Medicine

摘要

Here, we present new version 2.1 of tugHall (tumor gene-Hallmark) cancer-cell evolution simulator which is accelerated by clone-based approach. The tool is based on the model connected to the well-known cancer hallmarks with the specific mutational states of tumor-related genes. The hallmark variables depend linearly on the mutational states of tumor-related genes with specific weights. The cell behavior phenotypes are stochastically determined and the phenotypic probabilities are probabilistically interfered by the hallmarks. Approximate Bayesian Computation is applied to find the personalized specific parameters of the model. The variant allele frequencies are used as target data for the analysis. In tugHall 2.1, the Darwinian evolutionary competition amongst different clones is computed due to clone's death/birth processes.