Home > matlab > model_embedding > model_embedding_graphics.m

model_embedding_graphics

PURPOSE ^

SYNOPSIS ^

This is a script file.

DESCRIPTION ^

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 eval(default('flag_save_graphics','0','flag_movies','0'));
0002 
0003 
0004 % ----------------------------------------------------------------------------
0005 % graphics
0006 
0007 if isempty(me_options.arrowvaluesmax),
0008   arrowvaluesmax = min(max(abs(res.v_proj)), 5* median(abs(res.v_proj)));
0009 else
0010   arrowvaluesmax = me_options.arrowvaluesmax;
0011 end
0012 
0013 network_aug_CoHid.graphics_par.omitreactions   = me_options.omitreactions;
0014 network_aug_CoSplit.graphics_par.omitreactions = me_options.omitreactions;
0015 
0016 nk = length(kinetic_models);
0017 figure(1);
0018 netgraph_concentrations(network_aug_CoHid,res.covered_metabolites + 0.5*res.shared_metabolites, res.covered_reactions + 0.5*res.shared_reactions,1,struct('actprintnames',0, 'actstyle','fixed','arrowstyle','none','text_offset',me_options.text_offset,'showsign',0,'metvaluesmax',nk,'actvaluesmax',nk,'metvaluesmin',0,'actvaluesmin',0,'colormap',[1 1 1; copper],'single_arrow',1));
0019 
0020 for it = 1:length(kinetic_models),
0021   my_external = nan * ones(length(network_aug.metabolites),1);
0022   my_external(res.mapping_metabolites{it}) = kinetic_models{it}.external;
0023   my_prod = nan * ones(length(network_aug.metabolites),1);
0024   my_prod(res.mapping_metabolites{it}) = kinetic_models{it}.N * res.v_stat{it};
0025   my_v = res.collect_v(:,it);
0026   my_c = res.collect_c(:,it);  
0027 
0028   figure(100+it); netgraph_concentrations(network_aug_CoHid,  my_external,my_v,1,struct('arrowsize',me_options.arrowsize,'actstyle','none','text_offset',me_options.text_offset,'single_arrow',1));
0029   figure(110+it); netgraph_concentrations(network_aug_CoHid,  my_prod,my_v,1,struct('arrowsize',me_options.arrowsize,'actstyle','none','text_offset',me_options.text_offset,'single_arrow',1));
0030   figure(120+it); netgraph_concentrations(network_aug_CoHid,  double(isfinite(my_c)),double(isfinite(my_v)),1,struct('arrowstyle','none','text_offset',me_options.text_offset,'single_arrow',1));
0031 end
0032 
0033 figure(2); netgraph_concentrations(network_aug_CoHid,network_aug.external,res.v_mean,1,struct('arrowvaluesmax',arrowvaluesmax,'arrowsize',me_options.arrowsize,'squaresize',me_options.squaresize,'actstyle','none','text_offset',me_options.text_offset,'single_arrow',1));
0034 
0035 figure(3); netgraph_concentrations(network_aug_CoHid,network_aug.external,res.v_proj,1,struct('arrowvaluesmax',arrowvaluesmax,'arrowsize',me_options.arrowsize,'squaresize',me_options.squaresize,'actstyle','none','text_offset',me_options.text_offset,'single_arrow',1));
0036 
0037 if flag_movies, 
0038 
0039 figure(203); set(gcf, 'Position', [120 150 700 850]);
0040 M = netgraph_flux_movie(network_aug_CoHid,network_aug.external,res.v_proj,1,struct('arrowvaluesmax',arrowvaluesmax,'arrowsize',me_options.arrowsize,'squaresize',me_options.squaresize,'actstyle','none','text_offset',me_options.text_offset,'metprintnames',0));
0041 %%movie(M,10)
0042 
0043 figure(204); set(gcf, 'Position', [120 150 700 850]);
0044 [M2,T] = netgraph_movie(network_aug_CoHid,simulation.t,log(diag(1./simulation.C(:,end))*simulation.C),'concentrations',40,0);
0045  
0046 end
0047 
0048 figure(13); netgraph_concentrations(network_aug_CoHid,res.c_fix,[],1,struct('text_offset',me_options.text_offset,'single_arrow',1));
0049 
0050 figure(14); netgraph_concentrations(network_aug_CoHid,[],res.dmu_fix,1,struct('text_offset',me_options.text_offset,'arrow_stoichiometries',0,'single_arrow',1));
0051 
0052 for it = 1:length(kinetic_models),
0053   figure(200+it); netgraph_concentrations(network_aug_CoHid,res.collect_mu(:,it),[],1,struct('text_offset',me_options.text_offset,'arrow_stoichiometries',0,'single_arrow',1));
0054 end
0055 
0056 figure(4); netgraph_concentrations(network_aug_CoHid,res.mu-min(res.mu),res.A,1,struct('arrowvaluesmax',max(abs(res.A)),'arrowsize',me_options.arrowsize,'squaresize',me_options.squaresize,'actstyle','none','text_offset',me_options.text_offset,'colormap',flipud(rb_colors),'single_arrow',1));
0057 
0058 figure(5); netgraph_concentrations(network_aug_CoHid,res.c_combined,res.v_combined,1,struct('arrowvaluesmax',arrowvaluesmax,'arrowsize',me_options.arrowsize,'squaresize',me_options.squaresize,'actstyle','none','text_offset',me_options.text_offset,'single_arrow',1));
0059 
0060 my_line_colors = rby_colors(size(simulation.C,1));
0061 
0062 figure(6); 
0063 h = plot(simulation.t,simulation.C); 
0064 line_colors(h,my_line_colors);
0065 legend(network_combined.metabolites,'FontSize',me_options.legendFontsize);
0066 xlabel('Time'); ylabel('Concentration'); %set(gca,'YScale','Log');
0067 
0068 figure(7);
0069 if length(simulation_flat.t),
0070   h = plot(simulation_flat.t,simulation_flat.C); 
0071   line_colors(h,my_line_colors);
0072   legend(network_flat.metabolites,'FontSize',me_options.legendFontsize);
0073   xlabel('Time'); ylabel('Concentration'); %set(gca,'YScale','Log');
0074 else 
0075   xlabel('No simulation available');
0076 end
0077 
0078 figure(8);
0079 h = plot(simulation_local.t,simulation_local.C); 
0080 line_colors(h,my_line_colors(res.mapping_metabolites{1},:));
0081 legend(kinetic_models{1}.metabolites,'FontSize',me_options.legendFontsize);
0082 xlabel('Time'); ylabel('Concentration'); %set(gca,'YScale','Log');
0083 
0084 figure(9);
0085 h = plot(simulation.t,simulation.C(res.mapping_metabolites{1},:)); 
0086 line_colors(h,my_line_colors(res.mapping_metabolites{1},:));
0087 legend(network_aug.metabolites(res.mapping_metabolites{1}),'FontSize',me_options.legendFontsize);
0088 xlabel('Time'); ylabel('Concentration'); %set(gca,'YScale','Log');
0089 
0090 
0091 % ----------------------------------------------------------------------------
0092 % Save graphics and movies
0093 
0094 if isempty(psfile_dir), flag_save_graphics=0; end
0095 
0096 if flag_save_graphics,
0097 
0098   % Graphics
0099   
0100   cd(psfile_dir);
0101   
0102   print embedding_kinetic_mapping.eps      -f1 -depsc
0103   print embedding_kinetic_flux_kinetic.eps -f2 -depsc
0104   print embedding_kinetic_flux_network.eps -f3 -depsc
0105   print embedding_kinetic_thermo.eps       -f4 -depsc
0106   print embedding_kinetic_result_state.eps -f5 -depsc
0107   print embedding_kinetic_integration.eps  -f6 -depsc
0108   print embedding_kinetic_integration_flat.eps  -f7 -depsc
0109   print embedding_kinetic_integration_isolated.eps  -f8 -depsc
0110   print embedding_kinetic_integration_embedded.eps  -f9 -depsc
0111   
0112   for it = 1:length(kinetic_models),
0113     print(['embedding_kinetic_model_' num2str(it) '_fluxes.eps'],['-f' num2str(100+it)], '-depsc');
0114     print(['embedding_kinetic_model_' num2str(it) '_mapping.eps'],['-f' num2str(120+it)], '-depsc');
0115   end
0116   
0117   display(sprintf('Saving graphics to directory %s',psfile_dir));
0118   
0119   % Movies
0120   
0121   if flag_movies, 
0122     cd(psfile_dir);
0123     movie_file = 'embedding_kinetic_movie';
0124     movie_save(movie_file,M)
0125     display(sprintf('Saving flux movie to file %s/%s.gif',psfile_dir,movie_file));
0126     
0127     movie_file = 'embedding_kinetic_movie_perturbation';
0128     movie_save(movie_file,M2)
0129     display(sprintf('Saving flux movie to file %s/%s.gif',psfile_dir,movie_file));
0130   end
0131 
0132 end
0133 
0134 % ----------------------------------------------------------------------------
0135 % Add figure titles
0136 
0137 figure(1); title('Kinetic models embedded');
0138 figure(2); title('Flux projection: predefined fluxes and external metabolites');
0139 figure(3); title('Flux projection: stationary fluxes and external metabolites');
0140 figure(13); title('Concentrations taken from kinetic models');
0141 figure(14); title('Fixed delta mu');
0142 for it = 1:length(kinetic_models),
0143   figure(200+it);  title('Fixed chemical potentials mu');
0144 end
0145 figure(4); title('Chemical potentials (shifted to min=0) and reaction affinities');
0146 figure(5); title('Combined network: steady state concentrations and fluxes');
0147 
0148 figure(6); title('Simulation of combined model');
0149 figure(7); title('Simulation of "flat" combined model');
0150 figure(8); title('Simulation of isolated kinetic model');
0151 figure(9); title('Simulation of embedded kinetic model');
0152 
0153 for it = 1:length(kinetic_models),
0154   figure(100+it); title(sprintf('Embedded model %d: External metabolites and fluxes',it))
0155   figure(110+it); title(sprintf('Embedded model %d: Net production and fluxes',it))
0156   figure(120+it); title(sprintf('Embedded model %d: Subnetwork covered',it))
0157 end

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