Cascaded multiple classifiers for secondary structure prediction

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Cascaded multiple classifiers for secondary structure prediction.

We describe a new classifier for protein secondary structure prediction that is formed by cascading together different types of classifiers using neural networks and linear discrimination. The new classifier achieves an accuracy of 76.7% (assessed by a rigorous full Jack-knife procedure) on a new nonredundant dataset of 496 nonhomologous sequences (obtained from G.J. Barton and J.A. Cuff). This...

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ژورنال

عنوان ژورنال: Protein Science

سال: 2000

ISSN: 0961-8368,1469-896X

DOI: 10.1110/ps.9.6.1162