PyBact

dc.contributor.author	Isarankura-Na-Ayudhya, Chartchalerm
dc.contributor.author	Nantasenamat, Chanin
dc.contributor.author	Prachayasittikul, Virapong
dc.contributor.author	Preeyanon, Likit
dc.date.accessioned	2011-12-02T10:00:40Z
dc.date.available	2011-12-02T10:00:40Z
dc.date.issued	2011-12-02
dc.description.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 %.	en
dc.identifier.uri	http://hdl.handle.net/2003/29209
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-3060
dc.language.iso	en
dc.relation.ispartofseries	EXCLI Journal ; Vol. 10, 2011	en
dc.subject	bacteria	en
dc.subject	bacterial identification	en
dc.subject	data mining	en
dc.subject	microbiology	en
dc.subject	PyBact	en
dc.subject	Python	en
dc.subject.ddc	610
dc.title	PyBact	en
dc.title.alternative	an algorithm for bacterial identification	en
dc.type	Text
dc.type.publicationtype	article
dcterms.accessRights	open access
eldorado.dnb.zdberstkatid	2132560-1

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