Combining protein secondary structure prediction models with ensemble methods of optimal complexity
- 2 December 2003
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 56, 305-327
- https://doi.org/10.1016/j.neucom.2003.10.004
Abstract
No abstract availableKeywords
This publication has 44 references indexed in Scilit:
- A comparison of methods for multiclass support vector machinesIEEE Transactions on Neural Networks, 2002
- A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach1 1Edited by B. HollandJournal of Molecular Biology, 2001
- Protein secondary structure prediction based on position-specific scoring matrices 1 1Edited by G. Von HeijneJournal of Molecular Biology, 1999
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programsNucleic Acids Research, 1997
- Support-vector networksMachine Learning, 1995
- Enlarged representative set of protein structuresProtein Science, 1994
- Redefining the goals of protein secondary structure predictionJournal of Molecular Biology, 1994
- Prediction of Protein Secondary Structure at Better than 70% AccuracyJournal of Molecular Biology, 1993
- Predicting the secondary structure of globular proteins using neural network modelsJournal of Molecular Biology, 1988
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical featuresBiopolymers, 1983