cmb_model_artificial_data

 [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
                an SBtab file must contain tables "Reaction", "Compound" (and optionally "Position")
   cmb_options  struct containing options
   .use_artificial_noise    = 0;                   % flag: generate artificial state data with noise
   .use_kinetic_data_noise  = 1;                   % flag: generate artificial kinetic data with noise
   .prior_variant           = 'original_prior';                original prior
                              'broad_prior'                    broad prior around original prior means
                              'broad_prior_around_zero'        broad prior around 0 values
                              'prior_around_true_values'       prior around true values (only for artificial data)
                              'broad_prior_around_true_values' broad prior around true values (only for artificial data)