PyBact: an algorithm for bacterial identification

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...

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Detalles Bibliográficos
Autores principales: Nantasenamat, Chanin, Preeyanon, Likit, Isarankura-Na-Ayudhya, Chartchalerm, Prachayasittikul, Virapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Leibniz Research Centre for Working Environment and Human Factors 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5109015/
https://www.ncbi.nlm.nih.gov/pubmed/27857678
Descripción
Sumario: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 %.

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