[results] = ViewEdgDepStruct(run_structures,viewparams)
'ViewEdgDepStruct' : Searches for substructures in the set of all the structures learned
and can show the adjacency matrices corresponding to
these structures
INPUT
run_structures: Contain the data structures with all the structures
learned by the probability models in every run and generation (see
program ReadStructures.m for details.
viewparams{1} = [pcolors,fs]; % pcolors: range of colors for the
images. fs: Font size for the images
viewparams{2}: Describe the substructure by giving values of
absence/presence to a subset of edges. (see Example below)
viewparams{3}: % Vector with the selected runs that will be inspected
viewparams{4}; % Vector of with the selected generations that will be inspected
viewparams{5}; % Display type that could be one of the following:
'all_graphs': There is an image for each structure that contain the
substructure.
'one_graph': an image adding all the structures that contain the
substructure.
'no_graph': no image is generated. This option is for the cases where we only
want the list of runs and generations where the substructure is
included. This is an output of the function (see ViewEdgDepStruct.m
for details)
OUTPUT
results: a matrix of 2 columns, where each row contains a run and
generation where the subgraph has been found
EXAMPLE
We want to see all adjacency matrices of those structures learned in all runs
such that edges (3,4) and (4,5) appear together and edge (3,5) does not appear
viewparams{1} = [100,14];
viewparams{2} = [3 4 1; 4 5 1; 3 5 0]; % The substructure is described
viewparams{3} = [1:nruns]; % Selected runs (All)
viewparams{4} = [1:maxgen]; % Selected generations (All)
viewparams{5} = 'all_graphs'; % Graphs to be seen (All)
[results] = ViewEdgDepStruct(run_structures,viewparams);
Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)0001 function[results] = ViewEdgDepStruct(run_structures,viewparams) 0002 % [results] = ViewEdgDepStruct(run_structures,viewparams) 0003 % 0004 % 'ViewEdgDepStruct' : Searches for substructures in the set of all the structures learned 0005 % and can show the adjacency matrices corresponding to 0006 % these structures 0007 % INPUT 0008 % run_structures: Contain the data structures with all the structures 0009 % learned by the probability models in every run and generation (see 0010 % program ReadStructures.m for details. 0011 % viewparams{1} = [pcolors,fs]; % pcolors: range of colors for the 0012 % images. fs: Font size for the images 0013 % viewparams{2}: Describe the substructure by giving values of 0014 % absence/presence to a subset of edges. (see Example below) 0015 % viewparams{3}: % Vector with the selected runs that will be inspected 0016 % viewparams{4}; % Vector of with the selected generations that will be inspected 0017 % viewparams{5}; % Display type that could be one of the following: 0018 % 'all_graphs': There is an image for each structure that contain the 0019 % substructure. 0020 % 'one_graph': an image adding all the structures that contain the 0021 % substructure. 0022 % 'no_graph': no image is generated. This option is for the cases where we only 0023 % want the list of runs and generations where the substructure is 0024 % included. This is an output of the function (see ViewEdgDepStruct.m 0025 % for details) 0026 % OUTPUT 0027 % results: a matrix of 2 columns, where each row contains a run and 0028 % generation where the subgraph has been found 0029 % EXAMPLE 0030 % We want to see all adjacency matrices of those structures learned in all runs 0031 % such that edges (3,4) and (4,5) appear together and edge (3,5) does not appear 0032 % viewparams{1} = [100,14]; 0033 % viewparams{2} = [3 4 1; 4 5 1; 3 5 0]; % The substructure is described 0034 % viewparams{3} = [1:nruns]; % Selected runs (All) 0035 % viewparams{4} = [1:maxgen]; % Selected generations (All) 0036 % viewparams{5} = 'all_graphs'; % Graphs to be seen (All) 0037 % [results] = ViewEdgDepStruct(run_structures,viewparams); 0038 % 0039 % Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es) 0040 0041 0042 indexmatrix = run_structures{1}; 0043 AllBigMatrices = run_structures{2}; 0044 0045 pcolors = viewparams{1}(1); % Range of colors 0046 fs = viewparams{1}(2); % Fontsize for the figures 0047 0048 substruct = viewparams{2}; 0049 selected_runs = viewparams{3}; 0050 generations = viewparams{4}; 0051 display_type = viewparams{5}; 0052 0053 n = size(indexmatrix,1); 0054 AuxSumContactMatrix = zeros(n,n); 0055 results = []; 0056 0057 nconds = size(substruct,1); % Number of conditions specified 0058 for i=1:nconds 0059 indexconds(i) = indexmatrix(substruct(i,1),substruct(i,2)); % Indices of the edges in indexmatrix 0060 end 0061 valconds = substruct(:,3); % Values to be satisfied by the conditions 0062 0063 a = 1; 0064 for j=1:size(selected_runs,2) 0065 the_run = AllBigMatrices{selected_runs(j)} 0066 for i=1:size(generations,2) % Only generations specified in viewparams{3} 0067 one_gen = the_run(:,generations(i)); % Edges learned at that generation 0068 check_cond = sum(one_gen(indexconds)==valconds)==size(substruct,1); % Checking if all conditions are satisfied 0069 0070 if(check_cond==1) 0071 AuxContactMatrix = ConvertFromIndex(indexmatrix,one_gen); 0072 switch display_type 0073 case 'one_graph', AuxSumContactMatrix = AuxSumContactMatrix + AuxContactMatrix; 0074 case 'all_graphs', ShowImage(pcolors,fs,AuxContactMatrix); 0075 end; 0076 results(a,:) = [j,generations(i)]; %These are the runs and generations corresponding to the structures. 0077 a = a + 1; 0078 end 0079 end 0080 end 0081 0082 0083 switch display_type 0084 case 'one_graph', ShowImage(pcolors,fs,AuxSumContactMatrix); 0085 end; 0086 0087 0088 0089