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 %
PyBio is an easy-to-install, open-source library for working with bioinformatics data in Python, des...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
A generic computerised system for the identification of bacteria was developed. The system is equipp...
Statistical data mining is one of the popular research fields of exploring valuable information from...
Numerical methods are now widely used in the classification of bacteria, and they are also being exp...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
Identification of unknown microorganisms to the species level is an important component of a microbi...
The traditional methods of bacterial identification are based on observation of either the morpholog...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
Biotechnology has experienced innovations in analytics and data processing. As the volume of data an...
Bacterial taxonomy is particularly important in medicine, where the correct identification of an org...
Accurate identification of bacterial isolates is one of the fundamental tasks in clinical microbiolo...
Bacterial contamination in water sources is a serious health risk and the sources of the bacterial s...
This paper presents a computer-based method for recognizing digital images of bacterial cells. It co...
Prediction and classification of microbial species is an important skill for any clinical, industria...
PyBio is an easy-to-install, open-source library for working with bioinformatics data in Python, des...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
A generic computerised system for the identification of bacteria was developed. The system is equipp...
Statistical data mining is one of the popular research fields of exploring valuable information from...
Numerical methods are now widely used in the classification of bacteria, and they are also being exp...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
Identification of unknown microorganisms to the species level is an important component of a microbi...
The traditional methods of bacterial identification are based on observation of either the morpholog...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
Biotechnology has experienced innovations in analytics and data processing. As the volume of data an...
Bacterial taxonomy is particularly important in medicine, where the correct identification of an org...
Accurate identification of bacterial isolates is one of the fundamental tasks in clinical microbiolo...
Bacterial contamination in water sources is a serious health risk and the sources of the bacterial s...
This paper presents a computer-based method for recognizing digital images of bacterial cells. It co...
Prediction and classification of microbial species is an important skill for any clinical, industria...
PyBio is an easy-to-install, open-source library for working with bioinformatics data in Python, des...
Great knowledge and experience on microbiology are required for accurate bacteria identification. Au...
A generic computerised system for the identification of bacteria was developed. The system is equipp...