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Implement a New Group Analysis

This is the developer tutorial for implementing a new group analysis. In this tutorial, you will learn how to create a "*.gen.m" for a new group analysis, which can then be compiled by braph2genesis. Here, you will use as examples the group analysis AnalyzeGroup_ST_BUD, a group-based graph analysis (AnalyzeGroup) analyzing structural data (ST) using binary undirected multigraphs at fixed densities (BUD).

Implementation of the group analysis

Basic properties

Functionality-focused properties

Verification through testing

Implementation of the group analysis ⬆

You will implement in detail AnalyzeGroup_ST_BUD, a direct extension of AnalyzeGroup. An AnalyzeGroup_ST_BUD processes structural data to construct binary undirected graphs at fixed densities.

Basic properties ⬆

This section focuses on implementing the basic properties required to define AnalyzeGroup_ST_BUD, including its class, name, and associated metadata.

Code 1. AnalyzeGroup_ST_BUD element header. The header section of the generator code in "_AnalyzeGroup_ST_BUD.gen.m" provides the general information about the AnalyzeGroup_ST_BUD element.
%% ¡header!  ①
AnalyzeGroup_ST_BUD < AnalyzeGroup (a, graph analysis with structural data at fixed density) is a graph analysis using structural data at fixed density.

%%% ¡description!  ②
AnalyzeGroup_ST_BUD uses structural data at fixed density and analyzes them using binary undirected graphs.

%%% ¡seealso!
SubjectST, MultigraphBUD

%%% ¡build!  ③
1
① defines AnalyzeGroup_ST_BUD as a subclass of AnalyzeGroup. The moniker is a.

② provides a description of this group analysis.

③ defines the build number of the group analysis element.

Code 2. Basic properties of AnalyzeGroup_ST_BUD. This section of the generator code in "_AnalyzeGroup_ST_BUD.gen.m" updates the basic properties required to describe the AnalyzeGroup_ST_BUD element, including its class, name, description, and other metadata.

%% ¡props_update!

%%% ¡prop!
ELCLASS (constant, string) is the class of the group-based graph analysis with structural data at fixed density.
%%%% ¡default!
'AnalyzeGroup_ST_BUD'

%%% ¡prop!
NAME (constant, string) is the name of the group-based graph analysis with structural data at fixed density.
%%%% ¡default!
'Structural Binary Undirected at fixed Densities Analyze Group'

%%% ¡prop!
DESCRIPTION (constant, string) is the description of the group-based graph analysis with structural data at fixed density.
%%%% ¡default!
'AnalyzeGroup_ST_BUD uses structural data at fixed density and analyzes them using binary undirected graphs.'

Functionality-focused properties ⬆

This section details the implementation of functionality-focused properties that directly enable AnalyzeGroup_ST_BUD to perform graph analysis.

Code 3. Implementation properties of AnalyzeGroup_ST_BUD. This section of the generator code in "_AnalyzeGroup_ST_BUD.gen.m" updates the properties to be used, including TEMPLATE for specifying its G with graph type and parameters as a graph template, GR for defining subjects' data, and G for managing the graph instance obtained using the subjects' data.
%%% ¡prop!  ①
TEMPLATE (parameter, item) is the template of the group-based graph analysis with structural data at fixed density.
%%%% ¡settings!
'AnalyzeGroup_ST_BUD'

%%% ¡prop!
ID (data, string) is a few-letter code for the group-based graph analysis with structural data at fixed density.
%%%% ¡default!
'AnalyzeGroup_ST_BUD ID'

%%% ¡prop!
LABEL (metadata, string) is an extended label of the group-based graph analysis with structural data at fixed density.
%%%% ¡default!
'AnalyzeGroup_ST_BUD label'

%%% ¡prop!
NOTES (metadata, string) are some specific notes about the group-based graph analysis with structural data at fixed density.
%%%% ¡default!
'AnalyzeGroup_ST_BUD notes'

%%% ¡prop!  ②
GR (data, item) is the subject group, which also defines the subject class SubjectST.
%%%% ¡default!
Group('SUB_CLASS', 'SubjectST')

%%% ¡prop!  ③
G (result, item) is the graph obtained from this analysis.
%%%% ¡settings!
'MultigraphBUD'
%%%% ¡calculate!
gr = a.get('GR');
data_list = cellfun(@(x) x.get('ST'), gr.get('SUB_DICT').get('IT_LIST'), 'UniformOutput', false);  ④
data = cat(2, data_list{:})'; % correlation is a column based operation

if any(strcmp(a.get('CORRELATION_RULE'), {Correlation.PEARSON_CV, Correlation.SPEARMAN_CV}))
    A = Correlation.getAdjacencyMatrix(data, a.get('CORRELATION_RULE'), a.get('NEGATIVE_WEIGHT_RULE'), gr.get('COVARIATES')); ⑤
else
    A = Correlation.getAdjacencyMatrix(data, a.get('CORRELATION_RULE'), a.get('NEGATIVE_WEIGHT_RULE')); ⑥
end

densities = a.get('DENSITIES'); % this is a vector  ⑦

g = MultigraphBUD( ... ⑧
    'ID', ['Graph ' gr.get('ID')], ...
    'B', A, ...
    'DENSITIES', densities, ... 
    'LAYERLABELS', cellfun(@(x) [num2str(x) '%'], num2cell(densities), 'UniformOutput', false) ...
    );

if ~isa(a.getr('TEMPLATE'), 'NoValue') % the analysis has a template
    g.set('TEMPLATE', a.get('TEMPLATE').memorize('G')) % the template is memorized - overwrite densities  ⑨
end

if a.get('GR').get('SUB_DICT').get('LENGTH')
    g.set('NODELABELS', a.get('GR').get('SUB_DICT').get('IT', 1).get('BA').get('BR_DICT').get('KEYS'))
end

value = g;
① S specifies the TEMPLATE property, in which G, serving as a graph template, defines parameters such as DENSITIES, SEMIPOSITIVIZE_RULE, and STANDARDIZE_RULE. These settings are applied to the graph in ⑧.

② defines the GR property, which stores the subjects using the SubjectST element. This property contains the subjects’ data to be analyzed.

③ creates the G property, a graph that uses MultigraphBUD.

④ retrieves the subjects’ structural data from ②, which is used to construct the MultigraphBUD instance for analysis.

⑤ or ⑥ calculates the adjacency matrix based on whether group covariates (e.g., age and sex) are considered. Covariates are included for partial correlation if the CORRELATION_RULE property, introduced in ① of Code 4, is set to PEARSON_CV (Pearson with covariates) or SPEARMAN_CV (Spearman with covariates).

⑦ retrieves the densities defined in the new property in ② of Code 4. These densities configure the MultigraphBUD instance for analysis.

⑧ defines the graph by constructing an instance of MultigraphBUD for the calculated adjacency matrix and applying the specified DENSITIES parameter.

⑨ ensures the MultigraphBUD instance is updated with pre-defined parameters (e.g., DENSITIES, SEMIPOSITIVIZE_RULE, and STANDARDIZE_RULE) from the graph template specified in ①. If explicitly set by the user during initialization of AnalyzeGroup_ST_BUD, the densities will be overwritten with those in the graph template.

Code 4. AnalyzeGroup_ST_BUD element props. The props section of the generator code in "_AnalyzeGroup_ST_BUD.gen.m" defines the properties to be used in AnalyzeGroup_ST_BUD.
%% ¡props!

%%% ¡prop!  ①
CORRELATION_RULE (parameter, option) is the correlation type.
%%%% ¡settings!
Correlation.CORRELATION_RULE_LIST
%%%% ¡default!
Correlation.PEARSON

%%% ¡prop!  ②
NEGATIVE_WEIGHT_RULE (parameter, option) determines how to deal with negative weights.
%%%% ¡settings!
Correlation.NEGATIVE_WEIGHT_RULE_LIST
%%%% ¡default!
Correlation.ZERO

%%% ¡prop!  ③
DENSITIES (parameter, rvector) is the vector of densities.
%%%% ¡default!
[1:1:10]
%%%% ¡gui!  ④
pr = PanelPropRVectorSmart('EL', a, 'PROP', AnalyzeGroup_ST_BUD.DENSITIES, ...
    'MIN', 0, 'MAX', 100, ...
    'DEFAULT', AnalyzeGroup_ST_BUD.getPropDefault('DENSITIES'), ...
    varargin{:});
① defines the CORRELATION_RULE as one of the options in the list (PEARSON, SPEARMAN, KENDALL, PEARSON_CV, SPEARMAN_CV), used in ⑤ of Code 3.

② defines the NEGATIVE_WEIGHT_RULE as one of the options in the list (ZERO, ABS, NONE), used in ⑤ of Code 3.

③ defines the densities for binarizing the connectivity matrix in a binary undirected multigraph, used in ⑦ of Code 3.

④ PanelPropRVectorSmart renders a GUI row vector panel for defining densities, supporting MATLAB expressions and limiting values between MIN and MAX.

Verification through testing ⬆

This section tests AnalyzeGroup_ST_BUD to confirm its functionality via example scripts and ensure GUI integration.

Code 5. AnalyzeGroup_ST_BUD element tests. The tests section in the element generator "_AnalyzeGroup_ST_BUD.gen.m" includes logic test, which verifies correct functionality using example scripts and simulated datasets, and integration tests, which ensure the instance operation of the direct GUI and associated GUIs.

%% ¡tests!

%%% ¡test! ①
%%%% ¡name!
Example
%%%% ¡probability! ②
.01
%%%% ¡code! 
create_data_ST_XLS() % only creates files if the example folder doesn't already exist

example_ST_BUD

%%% ¡test!  ③
%%%% ¡name!
GUI - Analysis
%%%% ¡probability!
.01
%%%% ¡code!
im_ba = ImporterBrainAtlasXLS('FILE', 'destrieux_atlas.xlsx');
ba = im_ba.get('BA'); ④

gr = Group('SUB_CLASS', 'SubjectST', 'SUB_DICT', IndexedDictionary('IT_CLASS', 'SubjectST'));  ⑤
for i = 1:1:50
    sub = SubjectST( ...
        'ID', ['SUB ST ' int2str(i)], ...
        'LABEL', ['Subject ST ' int2str(i)], ...
        'NOTES', ['Notes on subject ST ' int2str(i)], ...
        'BA', ba, ...
        'ST', rand(ba.get('BR_DICT').get('LENGTH'), 1) ...
        );
    sub.memorize('VOI_DICT').get('ADD', VOINumeric('ID', 'Age', 'V', 100 * rand()))
    sub.memorize('VOI_DICT').get('ADD', VOICategoric('ID', 'Sex', 'CATEGORIES', {'Female', 'Male'}, 'V', randi(2, 1)))
    gr.get('SUB_DICT').get('ADD', sub)
end

a = AnalyzeGroup_ST_BUD('GR', gr, 'DENSITIES', 5:10:35);  ⑥

gui = GUIElement('PE', a, 'CLOSEREQ', false); ⑦
gui.get('DRAW') ⑧
gui.get('SHOW') ⑨

gui.get('CLOSE') ⑩

%%% ¡test! ⑪
%%%% ¡name!
GUI - Comparison
%%%% ¡probability!
.01
%%%% ¡code!
im_ba = ImporterBrainAtlasXLS('FILE', 'destrieux_atlas.xlsx');
ba = im_ba.get('BA');

gr1 = Group('SUB_CLASS', 'SubjectST', 'SUB_DICT', IndexedDictionary('IT_CLASS', 'SubjectST'));
for i = 1:1:50
    sub = SubjectST( ...
        'ID', ['SUB ST ' int2str(i)], ...
        'LABEL', ['Subject ST ' int2str(i)], ...
        'NOTES', ['Notes on subject ST ' int2str(i)], ...
        'BA', ba, ...
        'ST', rand(ba.get('BR_DICT').get('LENGTH'), 1) ...
        );
    sub.memorize('VOI_DICT').get('ADD', VOINumeric('ID', 'Age', 'V', 100 * rand()))
    sub.memorize('VOI_DICT').get('ADD', VOICategoric('ID', 'Sex', 'CATEGORIES', {'Female', 'Male'}, 'V', randi(2, 1)))
    gr1.get('SUB_DICT').get('ADD', sub)
end

gr2 = Group('SUB_CLASS', 'SubjectST', 'SUB_DICT', IndexedDictionary('IT_CLASS', 'SubjectST'));
for i = 1:1:50
    sub = SubjectST( ...
        'ID', ['SUB ST ' int2str(i)], ...
        'LABEL', ['Subject ST ' int2str(i)], ...
        'NOTES', ['Notes on subject ST ' int2str(i)], ...
        'BA', ba, ...
        'ST', rand(ba.get('BR_DICT').get('LENGTH'), 1) ...
        );
    sub.memorize('VOI_DICT').get('ADD', VOINumeric('ID', 'Age', 'V', 100 * rand()))
    sub.memorize('VOI_DICT').get('ADD', VOICategoric('ID', 'Sex', 'CATEGORIES', {'Female', 'Male'}, 'V', randi(2, 1)))
    gr2.get('SUB_DICT').get('ADD', sub)
end

a1 = AnalyzeGroup_ST_BUD('GR', gr1, 'DENSITIES', 5:10:35); ⑫
a2 = AnalyzeGroup_ST_BUD('GR', gr2, 'TEMPLATE', a1);  ⑬

c = CompareGroup( ... ⑭
    'P', 10, ...
    'A1', a1, ...
    'A2', a2, ...
    'WAITBAR', true, ...
    'VERBOSE', false, ...
    'MEMORIZE', true ...
    );

gui = GUIElement('PE', c, 'CLOSEREQ', false); ⑮
gui.get('DRAW') ⑯
gui.get('SHOW') ⑰

gui.get('CLOSE') ⑱

① Tests the functionality of AnalyzeGroup_ST_BUD using an example script.

② assigns a low test execution probability.

③ Tests the direct GUI functionality of AnalyzeGroup_ST_BUD.

④ and ⑤ define the necessary objects to initialize an instance of AnalyzeGroup_ST_BUD.

⑥ initializes an AnalyzeGroup_ST_BUD instance using the specified gr (group) and densities.

⑦, ⑧, and ⑨ test the process of creating a GUI for AnalyzeGroup_ST_BUD, drawing it, and showing it on the screen.

⑩ tests the process of closing the shown GUI.

⑪ tests the associated GUI functionality of AnalyzeGroup_ST_BUD.

⑫ initializes the first AnalyzeGroup_ST_BUD similar to the previous test, using the specified gr and densities.

⑬ initializes the second AnalyzeGroup_ST_BUD using the first AnalyzeGroup_ST_BUD instance as a template. This setup allows the second instance to have its own gr data while applying the same parameters, specifically the densities.

⑭ creates a CompareGroup instance with the defined AnalyzeGroup_ST_BUD instances.

⑮, ⑯, ⑰, and ⑱ test creating, drawing, showing, and closing the GUI of the CompareGroup, which is the associated GUI of AnalyzeGroup_ST_BUD

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readme.md

Implement a New Group Analysis

Table of Contents

Implementation of the group analysis ⬆

Basic properties ⬆

Functionality-focused properties ⬆

Verification through testing ⬆

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readme.md

Implement a New Group Analysis

Table of Contents

Implementation of the group analysis ⬆

Basic properties ⬆

Functionality-focused properties ⬆

Verification through testing ⬆