Letters: Ensemble of classifiers for protein fold recognition

Authors:
Loris Nanni
Affiliations:
DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Neurocomputing
Year:
2006

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Abstract

Predicting the three-dimensional structure of a protein from its amino-acid sequence is an important problem in bioinformatics and a challenging task for machine learning algorithms. In this paper, we investigate an ensemble of classifiers, applied for protein fold recognition, and tested it on a real-world dataset. The obtained results are very encouraging, our results improved the average predictive accuracy obtained in previously published work.