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I'm trying to do findModules(deepSplit= 0) to get cuttreeHybrid(deepSplit= 0), but deepSplit is being passed to pickSoftThreshold() which results in got an unexpected keyword argument 'deepSplit' . Maybe take the user provided kwargs and only fill in the unspecified keys with default values, then you can parcel out kwargs to the appropriate function calls?
As a sidenote, the API documentation states that deepSplit defaults to 1, but when I dig into the code it appears that it is actually 2.
I am ultimately trying to see if broader clusters result in better gene set enrichment. Am I going about this in a naive manner?
The text was updated successfully, but these errors were encountered:
Hi @JShermanK1 , Sorry for the delay!
I just released the new version which hopefully solves your problem
findModules() is more like a wrapper function so I ended up changing the input a little bit.
please look at the API documentation and let me know if you have any problems/questions.
Thanks for all the work.
I'm trying to do findModules(deepSplit= 0) to get cuttreeHybrid(deepSplit= 0), but deepSplit is being passed to pickSoftThreshold() which results in
got an unexpected keyword argument 'deepSplit'
. Maybe take the user provided kwargs and only fill in the unspecified keys with default values, then you can parcel out kwargs to the appropriate function calls?As a sidenote, the API documentation states that deepSplit defaults to 1, but when I dig into the code it appears that it is actually 2.
I am ultimately trying to see if broader clusters result in better gene set enrichment. Am I going about this in a naive manner?
The text was updated successfully, but these errors were encountered: