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eminSerin / NBS-Predict

A prediction-based extension of network-based statistics.
GNU General Public License v3.0
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Using pre-computed F/p matrices. #4

Closed sidchop closed 3 years ago

sidchop commented 3 years ago

Hi Emin, Thanks for making this toolbox. I was wondering if pre-computed NBS t or P maps can be used for the ML/model selection part for the toolbox. Due to the requirements of the dataset I am using, Ive run an NBS using a gamma regression, so have pre-computed F and p matrices. I'm now trying to assess whether the significant component from the NBS is associated with a set of behavioural variables and thought the ML models and selection procedure proposed in the toolbox might be useful for this.
Thanks, Sid

eminSerin commented 3 years ago

Dear Sid,

Thank you so much for your interest in our toolbox. NBS-Predict performs feature selection as a default process by combining GLM and connected components (like NBS). Thus, if you provide t maps instead of adjacency matrices, the toolbox will automatically run t-test or f-test on the t-maps you provided. This, unfortunately, will not statistically correct approach. So, in the current version of NBS-Predict, you can only use correlation or covariance matrices.

Please let me know if you have further questions. Otherwise, I will close this issue.

Good luck with your analyses 🤞🤞🤞🤞

sidchop commented 3 years ago

Thanks for your response emin - makes sense.