Pybact: An algorithm for bacterial identification

Chanin Nantasenamat; Likit Preeyanon; Chartchalerm Isarankura-Na-Ayudhya; Virapong Prachayasittikul

Pybact: An algorithm for bacterial identification

Chanin Nantasenamat
, Likit Preeyanon
, Chartchalerm Isarankura-Na-Ayudhya
, Virapong Prachayasittikul

Mahidol University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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 %.

Original language	English
Pages (from-to)	240-245
Number of pages	6
Journal	EXCLI Journal
Volume	10
Publication status	Published - 2011

Keywords

Bacteria
Bacterial identification
Data mining
Microbiology
PyBact
Python

Cite this

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title = "Pybact: An algorithm for bacterial identification",

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 \%.",

keywords = "Bacteria, Bacterial identification, Data mining, Microbiology, PyBact, Python",

author = "Chanin Nantasenamat and Likit Preeyanon and Chartchalerm Isarankura-Na-Ayudhya and Virapong Prachayasittikul",

year = "2011",

language = "English",

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issn = "1611-2156",

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T2 - An algorithm for bacterial identification

AU - Nantasenamat, Chanin

AU - Preeyanon, Likit

AU - Isarankura-Na-Ayudhya, Chartchalerm

AU - Prachayasittikul, Virapong

PY - 2011

Y1 - 2011

N2 - 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 %.

AB - 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 %.

KW - Bacteria

KW - Bacterial identification

KW - Data mining

KW - Microbiology

KW - PyBact

KW - Python

UR - https://www.scopus.com/pages/publications/84855803086

M3 - Article

AN - SCOPUS:84855803086

SN - 1611-2156

VL - 10

SP - 240

EP - 245

JO - EXCLI Journal

JF - EXCLI Journal

ER -

Pybact: An algorithm for bacterial identification

Abstract

Keywords

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