# Export graph metric values

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Viewing 5 posts - 11 through 15 (of 15 total)
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• #178303
Yu-Wei Chang
Moderator

Hi,

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

#178306
Sai Prasanna
Participant

Yes, that’s right.
Thank you.

Sai Prasanna

#178361
Yu-Wei Chang
Moderator

Hi,

Nice, thank you!

Best,
Yu-Wei

#178542
Sai Prasanna
Participant

Hi,
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?

Thanks.
Sai

#178656
Yu-Wei Chang
Moderator

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`
and
`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.

Best,
Yu-Wei

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