Data-driven Generation of Decision Trees for Motif-Based Assignment of Protein Sequences to Functional Families

Wang, Dake, Wang, Xiangyun, Dobbs, Drena and Honavar, Vasant (2000) Data-driven Generation of Decision Trees for Motif-Based Assignment of Protein Sequences to Functional Families. Technical Report TR00-14, Department of Computer Science, Iowa State University.

Abstract

This paper describes an approach to data-driven discovery of sequence
motif-based models in the form of decision trees for assigning protein
sequences to functional families. Experiments using several protein data
sets indicate that proposed approach matches or beats the technique of
assigning protein sequences to functional families based on the presence
of a single characteristic motif in terms of the accuracy of resulting
classification.


Subjects:
All uncategorized technical reports


ID code:
00000227
Deposited by:
Staff Account on 02 August 2000





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