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Let's say we have two cohorts of subjects, for example people with a diagnosis of depression and healthy controls. Our networks are aligned, so it is straightforward to compare the cohort A network to the cohort B network. It's less straightforward to interpret this comparison.
We plan to add a module that permutes the original data and builds up a null distribution so that differences between the two real groups can be statistically tested
The text was updated successfully, but these errors were encountered:
Let's say we have two cohorts of subjects, for example people with a diagnosis of depression and healthy controls. Our networks are aligned, so it is straightforward to compare the cohort A network to the cohort B network. It's less straightforward to interpret this comparison.
We plan to add a module that permutes the original data and builds up a null distribution so that differences between the two real groups can be statistically tested
The text was updated successfully, but these errors were encountered: