Publication: Pybact: An algorithm for bacterial identification
Issued Date
2011-12-01
Resource Type
ISSN
16112156
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2-s2.0-84855803086
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Mahidol University
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SCOPUS
Bibliographic Citation
EXCLI Journal. Vol.10, (2011), 240-245
Suggested Citation
Chanin Nantasenamat, Likit Preeyanon, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul Pybact: An algorithm for bacterial identification. EXCLI Journal. Vol.10, (2011), 240-245. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/11223
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Title
Pybact: An algorithm for bacterial identification
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Abstract
PyBact is a software written in Python for bacterial identification. The code simulates the predefined behavior of bacterial species by generating a simulated data set based on the frequency table of biochemical tests from diagnostic microbiology textbook. The generated data was used for predictive model construction by machine learning approaches and results indicated that the classifiers could accurately predict its respective bacterial class with accuracy in excess of 99 %.