get_taus_karyo Function — get_simulation

This function allows you to obtain simulated data for copy number events (tau and karyo input for get_simulation or simulate_and_fit) inputting the number of events and the proportions of taus and karyos.

Usage

get_simulation_tickTack(
  number_clocks,
  number_events,
  purity,
  coverage,
  epsilon,
  seed = 123,
  vector_karyo = c("2:0", "2:1", "2:2"),
  time_interval = 7,
  w = 0.01,
  mu = 1e-04,
  l = 2e+07
)

Arguments

number_clocks: unique tau to be present in the simulation
number_events: number of events to be simulated
purity: sample purity
coverage: average number of reads that align to a reference base
epsilon: minimum distance between taus in terms of pseudo time
seed: simulation seed
vector_karyo: possible karyotypes to be included in the inference
time_interval: time interval
w: cell division rate
mu: mutation rate
l: length of the segments

Value

list of simulated data and x object on which to perform the inference