Authors: Isarankura-Na-Ayudhya, Chartchalerm
Nantasenamat, Chanin
Prachayasittikul, Virapong
Preeyanon, Likit
Title: PyBact
Other Titles: an algorithm for bacterial identification
Language (ISO): en
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 %.
Subject Headings: bacteria
bacterial identification
data mining
microbiology
PyBact
Python
URI: http://hdl.handle.net/2003/29209
http://dx.doi.org/10.17877/DE290R-3060
Issue Date: 2011-12-02
Appears in Collections:Original Articles

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