CHEN Yang and WANG Shoujue, “Comparing the Performance of BiomimeticPattern Recognition with W8 and SVM onPrediction of Horizontal Gene Transfers inBacteria Genomes,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 86-90, 2010,
Citation: CHEN Yang and WANG Shoujue, “Comparing the Performance of BiomimeticPattern Recognition with W8 and SVM onPrediction of Horizontal Gene Transfers inBacteria Genomes,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 86-90, 2010,

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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