April 20, 2023 at 10:39 am #178303
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-WeiApril 20, 2023 at 10:42 am #178306Sai PrasannaParticipant
Yes, that’s right.
Sai PrasannaApril 20, 2023 at 7:11 pm #178361
Nice, thank you!
Yu-WeiApril 21, 2023 at 5:45 am #178542Sai PrasannaParticipant
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 ?
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.
SaiApril 21, 2023 at 1:53 pm #178656
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:
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.
- You must be logged in to reply to this topic.