demo_cmb_experimental_data

PURPOSE

SYNOPSIS

DESCRIPTION

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 Model balancing - Simple test models

 What this scrip does:
 o read model and data from SBtab file
 o run model balancing
 o save results to output files

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CROSS-REFERENCE INFORMATION

• cvxpy_problem_data_structure problem = cvxpy_problem_data_structure(network, q_info, prior, data, true)
• cmb_load_and_convert_model_and_data [network, q_info, data, c_init, kinetic_data, state_data] = cmb_load_and_convert_model_and_data(cmb_options, file, file_options)
• cmb_default_options cmb_options = cmb_default_options()
• cmb_filenames filenames = cmb_filenames(model_name, result_dir, network_sbml_file)
• cmb_model_and_data [bounds, prior, init] = cmb_model_and_data(model, network, data, q_info, c_init, cmb_options)
• cmb_resourcedir
• model_balancing [optimal, calculation_time, gradient_V, init, cmb_options, V, kapp_max, preposterior, pp] = model_balancing(filenames, cmb_options, network, q_info, prior, bounds, data, true, init)