Home > model-balancing > cmb_generate_artificial_data.m

cmb_generate_artificial_data

PURPOSE ^

[kinetics, prior, bounds, data, true, kinetic_data, state_data] = cmb_generate_artificial_data(network, cmb_options, q_info, e_init)

SYNOPSIS ^

function [kinetics, prior, bounds, data, true, kinetic_data, state_data] = cmb_generate_artificial_data(network, cmb_options, q_info, c_init, conc_min, conc_max, ind_e_off, Keq_init, v_init)

DESCRIPTION ^

 [kinetics, prior, bounds, data, true, kinetic_data, state_data] = cmb_generate_artificial_data(network, cmb_options, q_info, e_init)

 Generate an artificial data set for a given metabolic network structure
 
   network: network structure
   cmb_options  struct containing options
   cmb_options.ns:      number of steady states
   q_info       struct describing the dependencies between model variables
   c_init       (optional) matrix; initial guess of (non-logarithmic) metabolite concentrations; 
                           also used for generating the artificial data 
   conc_min, conc_max vectors with minimal and maximal metabolite concentrations
   ind_e_off    indices of enyzmes to be shot off
   Keq_init Keq vector to be used  for artificial data
 
   prior        struct describing priors in the optimality problem (details see cmb_make_prior)
   bounds       struct describing bounds in the optimality problem (details see cmb_make_bounds)
   data         struct describing data used in the optimality problem
   true         struct describing true model variables (optional; only for models with artificial data)

CROSS-REFERENCE INFORMATION ^

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