A novel hybrid GA/RBFNN technique for protein sequences classification

Xing Ming Zhao, De Shuang Huang*, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

9 Citations (Scopus)


A novel hybrid genetic algorithm (GA)/radial basis function neural network (RBFNN) technique, which selects features from the protein sequences and trains the RBF neural network simultaneously, is proposed in this paper. Experimental results show that the proposed hybrid GA/RBFNN system outperforms the BLAST and the HMMer.

Original languageEnglish
Pages (from-to)383-386
Number of pages4
JournalProtein and Peptide Letters
Issue number4
Publication statusPublished - May 2005

Scopus Subject Areas

  • Structural Biology
  • Biochemistry

User-Defined Keywords

  • Feature selection
  • Hybrid GA/RBFNN method
  • Protein sequences classification


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