_PROBLEM CoEPrA-2006_Classification_004

_GROUP_NAME Walter Knapp

_GROUP_MEMBERS
E. Walter Knapp
Henning Riedesel

_ADDRESS
AG Knapp
FREE UNIVERSITY OF BERLIN
FB Biologie, Chemie, Pharamzie
Institut fuer Chemie
Takustr. 3
14195 Berlin
GERMANY


_MODELING_PROCEDURE
Matrix based modified principle component analysis. The approach is  
based on the publication "Peptide binding at class I major 
histocompatibility complex  scored with linear functions and support 
vector machines" in Genome Inform Ser Workshop Genome Inform.,(2004) 
Vol. 15, 1, p.198-212.  We split the calibration dataset into a 
training 
and testing set to optimize the parameters.
The method can use feature vectors OR only sequence information. We 
were 
using only the  sequence information without the descriptors provided.
We used 14 largest eigenvalues obtained from PCA and used a linear fade 
out for the following 50 eigenvalues. A weighting factor
of w+ = 0.65 was used. Matrix and vector values for the optimized 
solution function are attached.

_PREDICTION
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