CRCU

Chemical Research in Chinese Universities ›› 2002, Vol. 18 ›› Issue (4): 453-457.

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Radial Basis Function Networks Applied in Bacterial Classification Based on MALDI-TOF-MS

ZHANG Zhuo-yong1, WANG Dan2, LIU Si-dong2, HARRINGTON Peter de B.3, VOORHEES Kent J.4, REES Jon4   

  1. 1. Department of Chemistry, Capital Normal University, Beijing 100037, China;
    2. Faculty of Chemistry, Northeast Normal University, Changchun 130024, China;
    3. Ohio University Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Ohio University, Athens, Ohio 45701-2979, USA;
    4. Department of Chemistry and Geochemistry, Colorado School of Mines, Golden, CO 80401, USA
  • Received:2001-11-19 Online:2002-12-24 Published:2011-08-04
  • Supported by:

    Supported by Foundation for Young Mainstay Teachers, Education Ministry of China.

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Abstract: The radial basis function networks were applied to bacterial classification based on the matrix-assisted laser desorption/ionization time-of-flight mass spectrometric (MALDI-TOF-MS) data. The classification of bacteria cultured at different time was discussed and the effect of the network parameters on the classification was investigated. The cross-validation method was used to test the trained networks. The correctness of the classification of different bacteria investigated changes in a wide range from 61.5% to 92.8%. Owing to the complexity of biological effects in bacterial growth, the more rigid control of bacterial culture conditions seems to be a critical factor for improving the rate of correctness for bacterial classification.

Key words: Radial basis function network, Matrix-assisted laser desorption/ionization, Time-of-flight mass spectrometry, Bacterium, Classification