Efficient ensemble schemes for protein secondary structure prediction

Kun Hong Liu, Jun Feng Xia, Xueling Li

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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
Issue number5
StatePublished - Jun 2008
Externally publishedYes


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

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry


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