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Classifier ensembles for protein structural class prediction with varying homology

โœ Scribed by Kanaka Durga Kedarisetti; Lukasz Kurgan; Scott Dick


Book ID
116293404
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
509 KB
Volume
348
Category
Article
ISSN
0006-291X

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## Abstract Supervised classifiers, such as artificial neural network, partition trees, and support vector machines, are often used for the prediction and analysis of biological data. However, choosing an appropriate classifier is not straightforward because each classifier has its own strengths an