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Marcus Gry
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20
@marcus-gry-3240
Last seen 10.2 years ago
Dear list members.
I am trying to make a sensitivity analysis (as derived by Zurada 1994,
Engelbrecht 1995) of input parameters (gene expression data) when
applying a neural network to classify different cancer subtypes. Since
I am no expert in the field, (rather a newbie), I wonder if there
exists an implementation in R that can be used to measure the relative
importance of the input variables for the neural network. I read that
the sensitivity matrix is the Jacobian matrix of the output parameters
over the input parameters. I think that somehow I can grasp the
concept, I just don?t know how to implement it in R. Any help, or
guidelines would be greatly appreciated.
Best regards
Marcus