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Nov 15, 2016 07:11 PM | Sam P
simulated consensus model
So, I have >50 neurons traced from each of multiple disease
phenotypes.
Eg. 50 swc neurons - disease x
50 swc neurons - disease y
Is there a computational way to obtain an artificial(simulated?) average/consensus swc model that would represent all 50 of them? in terms of morphometric features?
A total newbie here, do forgive naive questions :)
Sam
Eg. 50 swc neurons - disease x
50 swc neurons - disease y
Is there a computational way to obtain an artificial(simulated?) average/consensus swc model that would represent all 50 of them? in terms of morphometric features?
A total newbie here, do forgive naive questions :)
Sam
Jan 17, 2017 10:01 PM | Hanchuan Peng
RE: simulated consensus model
yes just run some of the BigNeuron
based consensus plugins...
Originally posted by Sam P:
Originally posted by Sam P:
So, I have >50 neurons traced from each of
multiple disease phenotypes.
Eg. 50 swc neurons - disease x
50 swc neurons - disease y
Is there a computational way to obtain an artificial(simulated?) average/consensus swc model that would represent all 50 of them? in terms of morphometric features?
A total newbie here, do forgive naive questions :)
Sam
Eg. 50 swc neurons - disease x
50 swc neurons - disease y
Is there a computational way to obtain an artificial(simulated?) average/consensus swc model that would represent all 50 of them? in terms of morphometric features?
A total newbie here, do forgive naive questions :)
Sam