CHEN Yang, WANG Shoujue. Comparing the Performance of BiomimeticPattern Recognition with W8 and SVM onPrediction of Horizontal Gene Transfers inBacteria Genomes[J]. Chinese Journal of Electronics, 2010, 19(1): 86-90.
Citation: CHEN Yang, WANG Shoujue. Comparing the Performance of BiomimeticPattern Recognition with W8 and SVM onPrediction of Horizontal Gene Transfers inBacteria Genomes[J]. Chinese Journal of Electronics, 2010, 19(1): 86-90.

Comparing the Performance of BiomimeticPattern Recognition with W8 and SVM onPrediction of Horizontal Gene Transfers inBacteria Genomes

  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2010-01-05
  • With the accomplishment of sequencing
    genomes, lots of homologous genes had been found in dif-
    ferent species. These homologous genes are called horizon-
    tal transfer genes, in which genetic material is transferred
    from the genome of one organism to another. Prediction of
    the Horizontal gene transfers (HGT) has important mean-
    ing for understanding the genome evolution and estimating
    the hereditary material between species. A novel approach
    based on Biomimetic pattern recognition (BPR) was pro-
    posed to predict the horizontal gene transfers in bacte-
    rial genomes. The basis of BPR points to the Principle
    of homology-continuity (PHC) that the di®erence between
    two samples of the same class must be gradually changed.
    The aim of BPR is to ¯nd an optimal covering in the fea-
    ture space, which rather than \division" in traditional pat-
    tern recognition, emphasizing the \similarity" among ho-
    mologous group members. Two neuron models called Hy-
    per sausage neuron (HSN) and Ã3-neuron as covering units
    in BPR were used to construct the multi-weighted neural
    network. The performance of the approach was superior
    to that of gene scoring method of 8-nucleotide composition
    (W8) and one-class Support vector machine (SVM).
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