Python libraries:
Numpy Pandas Mesa
To run the simulation for a configured sample size do:
python run_with_config.py
You can modify the config file config.toml , or create
your own (in the same directory).
To run the simulation in your browser type:
python browser.py
sample_size - The number of times the simulation will be run.
steps - The number of steps in each simulation run.
tumor movement stopping range - The range of movement stopping rates that can be selected. Eeach agent chooses at random from range 0-movement-stopping-range, and this will determine how much the probability of stepping on a CC will be reduced.
tumor mutation probability The probability (at each simulation step) that the tumor will mutate (default: 0.01)
modifier_fraction - The fraction of CC's that will have modifiers (the modifiers affect the probabilities (Pk,Pi...)), default=0.1
turn off modifiers - If this option is set to True, there will be no CCs with (default=False)
is_growing - If this is true the tumor will grow (default =true)
growth_probability - The probability that the tumor will grow, at each step (default = 0.01)
injection_type - Specifies how the nanoparticles are injected. If set to random it will be inserted at n random places. n is specified by injection_points parameter
mutation_percentage (default 5) - THe percentage of the population that will be mutated, duplicated and removed. *Mutated : The middle 5 percent *Duplicated: The top 5 percent *Removed: The worse 5 percent
CC_number - The number of Cancer Cells
NA_number - The number of NanoAgents
steps before mutation (default 10) - At every 10 steps, the population will mutate.
curiosity (default 0.5)- This will be multiplied with Pa when encountering an unknown cell
memory_type - Is set to either "random" (picks memory random from [0-memory_limit]) or a number representing the fixed memory size
memory_limit - Determines the limit of the random memory size choice
probabilities limit (default 1) - The probabilities (Pa,Pi..) are chosen between zero and the limits