Pulsed-Field Gel Elec rophoresis Pa ern Recogni ion of Bac erial DNA: A Systemic Approach |
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| Authors: | Dayou Wang James M Keller C Andrew Carson |
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| Affiliation: | (1) Computer Engineering and Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA, US;(2) Department of Veterinary Pathobiology, University of Missouri-Columbia, Columbia, MO, USA, US |
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| Abstract: | Pulsed-Field Gel Electrophoresis (PFGE) images contain ‘banding pattern’ information that can be used in bacterial identification.A
systemic approach was designed to target the bacterial DNA PFGE pattern recognition problem that requires image processing,
feature extraction, data pre-processing, classification and final decision-making. This paper describes the research, development
and testing of a complete system to address this identification problem, including Receiver Operating Characteristic Curve
(ROC) analysis. Variations due to gel preparation in various laboratories by different technicians are considered. The approach
was applied to recognition of E. coli O157:H7 bacteria with excellent results. |
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| Keywords: | :Bacteria recognition Classifier fusion Feature extraction Fuzzy logic Neural networks Pulsed-Field Gel Electrophoresis (PFGE) |
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