[BioC] Neural networks.

Marcus Gry marcus.gry at genpat.uu.se
Thu Sep 3 10:40:18 CEST 2009

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


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