[network, bounds, prior, q_info, data, true, kinetic_data, state_data] = cmb_model_artificial_data(network_file, cmb_options, c_init, position_sbtab_file, constraint_sbtab_file)
Generate input data for a Convex Model Balancing problem with artifical data
Input variables
network_file filename of SBML or SBtab network model
cmb_options struct containing options
c_init (optional) matrix; initial guess of (non-logarithmic) metabolite concentrations;
also used for generating the artificial data
position_sbtab_file (optional) filename of SBtab file (table "Position") for network layout
constraint_sbtab_file (optional) filename of SBtab file (tables "Position")
Output variables
network struct describing metabolic network (format as in Metabolic Network Toolbox)
bounds struct describing bounds in the optimality problem (details see cmb_make_bounds)
prior struct describing priors in the optimality problem (details see cmb_make_prior)
q_info struct describing the dependencies between model variables
data struct describing data used in the optimality problem
true struct describing true model variables (optional; only for models with artificial data)
kinetic_data
state_data
For CMB problems with "real" data, use cmb_model_and_data instead