cmb_model_and_data

 [bounds, prior, init] = cmb_model_and_data(model, network, data, q_info, c_init, cmb_options)

 Prepare data structures describing a Convex Model Balancing problem 

 Input variables
   model        (string) model name  
   network      struct describing metabolic network (format as in Metabolic Network Toolbox)
   data         struct describing data used in the optimality problem
   q_info       struct describing the dependencies between model variables
   c_init       matrix; initial guess of (non-logarithmic) metabolite concentrations
   cmb_options  struct containing options 
   conc_min, conc_max vectors of minimal and maximal metabolite concentrations

 Output variables
   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)
   init      struct containing the initial model variables (fields init.q and init.X)
 
 For problems with artificial data, use cmb_model_artificial_data instead