_PROBLEM CoEPrA-2006_Classification_004
 
_GROUP_NAME Tom Kiehl

_GROUP_MEMBERS
Charles Bergeron
Tom Kiehl

_ADDRESS
School of Science
Rensselaer Polytechnic Institute
110 Eighth Street
Troy
New York 12180-3522
United States of America

_MODELING_PROCEDURE

We used a random search algorithm to identify active
nonapeptides in the prediction set. Random subsets
of the joint calibration-prediction superset were
compared with the active calibration subset. The
retained loss function is the Frobenius matrix norm
of the difference between the logos
[Crooks GE, Hon G, Chandonia JM, Brenner SE. WebLogo:
A sequence logo generator, Genome Research, 14:1188-1190, (2004)].
One thousand runs were completed and results were
pooled together to make the final prediction.

_PREDICTION
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