Efficient ensemble schemes for protein secondary structure prediction

Kun Hong Liu, Jun Feng Xia, Xueling Li

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

This paper proposes an efficient ensemble system to tackle the protein secondary structure prediction problem with neural networks as base classifiers. The experimental results show that the multi-layer system can lead to better results. When deploying more accurate classifiers, the higher accuracy of the ensemble system can be obtained.

Original languageEnglish (US)
Pages (from-to)488-493
Number of pages6
JournalProtein and Peptide Letters
Volume15
Issue number5
DOIs
StatePublished - Jun 1 2008

Keywords

  • Classifier ensemble system
  • Multiple sequence alignment
  • Neural network
  • Protein secondary structure prediction

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry

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