Autor(en): | Isarankura-Na-Ayudhya, Chartchalerm Nantasenamat, Chanin Prachayasittikul, Virapong Preeyanon, Likit |
Titel: | PyBact |
Sonstige Titel: | an algorithm for bacterial identification |
Sprache (ISO): | en |
Zusammenfassung: | 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 %. |
Schlagwörter: | bacteria bacterial identification data mining microbiology PyBact Python |
URI: | http://hdl.handle.net/2003/29209 http://dx.doi.org/10.17877/DE290R-3060 |
Erscheinungsdatum: | 2011-12-02 |
Enthalten in den Sammlungen: | Original Articles |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
Nantasenamat_24112011_proof.pdf | DNB | 117.33 kB | Adobe PDF | Öffnen/Anzeigen |
Nantasenamat Supplementary Information.pdf | DNB | 434.24 kB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource ist urheberrechtlich geschützt. |
Diese Ressource ist urheberrechtlich geschützt. rightsstatements.org