Hi,
I am a
Ph.D student at UC Davis in Laura Marcu's Lab. We are
imaging ex-vivo human coronary arteries using two
simultaneous imaging techniques (fluorescence and
ultrasound).
For
each image we extract 58 parameters from regions of interest
that have been identified with a known disease condition
from pathology. Each coronary sample can have multiple
disease conditions. This is because we have multiple image
slices along the length of the coronary and each slice may
present different disease conditions.
As of
now, we have 14 disease conditions.
We want
to be able to statistically determine how well the different
58 parameters distinguish between different disease
conditions.
We do
not know if the data distribution is normal and if the
parameters are independent of one another.
We were
advised by a statistician to use mixed effects anova and
directed us to your work as our data is longitudinal (using
space instead of time).
Can you
please guide us on how we can use your software for our
analysis since your software seems to be tailored for
neuro-imaging data.
Thanks
much.
Hussain Fatakdawala
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