Efficient ensemble schemes for protein secondary structure prediction

Kun Hong Liu, Jun Feng Xia, Xueling Li

Research output: Contribution to journalArticle

8 Citations (Scopus)

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 2008
Externally publishedYes

Fingerprint

Secondary Protein Structure
Classifiers
Proteins
Neural networks

Keywords

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

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

Cite this

Efficient ensemble schemes for protein secondary structure prediction. / Liu, Kun Hong; Xia, Jun Feng; Li, Xueling.

In: Protein and Peptide Letters, Vol. 15, No. 5, 06.2008, p. 488-493.

Research output: Contribution to journalArticle

Liu, Kun Hong ; Xia, Jun Feng ; Li, Xueling. / Efficient ensemble schemes for protein secondary structure prediction. In: Protein and Peptide Letters. 2008 ; Vol. 15, No. 5. pp. 488-493.
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