Export graph metric values

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    Yu-Wei Chang


    Thanks for the further information.
    Yes, based on your feedback, it sounds reasonable since, if I understand you correctly, you calculated all the available measures for all 800 subjects.

    Should you have any questions, please feel free to write to us.

    Best, Yu-Wei

    Sai Prasanna

    Yes, that’s right.
    Thank you.

    Sai Prasanna

    Yu-Wei Chang


    Nice, thank you!


    Sai Prasanna

    Do you guys have any reference manuals for the latest release of BRAPH2?
    I was interested in knowing what the variables mean. For example, in the following lines,

    strength_WU_diff = c_WU.getComparison(‘Strength’).get(‘DIFF’);
    strength_WU_p1 = c_WU.getComparison(‘Strength’).get(‘P1’);
    strength_WU_p2 = c_WU.getComparison(‘Strength’).get(‘P2’);
    strength_WU_cil = c_WU.getComparison(‘Strength’).get(‘CIL’);
    strength_WU_ciu = c_WU.getComparison(‘Strength’).get(‘CIU’);

    What are P1, P2, Diff, …diff, ..p1, ..p2, ..cil, CIL, …ciu, CIU ?

    And, in
    c_WU = CompareEnsemble( …
    ‘P’, 10, …
    ‘A1’, a_WU1, …
    ‘A2’, a_WU2, …
    ‘WAITBAR’, true, …
    ‘VERBOSE’, true, …
    ‘MEMORIZE’, true …

    Does p indicate the number of permutations of a random graph used in comparison?

    I’d appreciate it if you could please help me with this.


    Yu-Wei Chang

    Hi Sai,

    The reference manual for braph2 is already included automatically in the software. If you want to know the properties (e.g., P for CompareEnsemble or P1, P2, DIFF for ComparisonEnsemble), you can simply type the following commands in the MATLAB command window:
    help CompareEnsemble
    help ComparisonEnsemble

    These commands will show you the description of all the properties related to CompareEnsemble and ComparisonEnsemble as attached:

    In the description, you will find the answers you wanted:
    – P (parameter, scalar) is the permutation number.
    – DIFF (result, cell) is the ensemble comparison value.
    – P1 (result, cell) is the one-tailed p-value.
    – P2 (result, cell) is the two-tailed p-value.
    – CIL (result, cell) is the lower value of the 95%% confidence interval.
    – CIU (result, cell) is the upper value of the 95%% confidence interval.

    I also recommend checking our freely available tutorials online that explain how to perform graph and deep learning analysis using braph2. You can access them through this link: http://braph.org/tutorials/pipelines/pipeline-functional-comparison-bud/.

    Let me know if you have any further questions.


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