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Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning
At present, there is much variability between MALDI-TOF MS methodology for the
characterization of bacteria through differences in eg, sample preparation methods, matrix …
characterization of bacteria through differences in eg, sample preparation methods, matrix …
Longitudinal changes in the bacterial community composition of the Danube River: a whole-river approach
ABSTRACT The Danube River is the second longest river in Europe, and its bacterial
community composition has never been studied before over its entire length. In this study …
community composition has never been studied before over its entire length. In this study …
[PDF][PDF] Isolation and characterization of α-endosulfan degrading bacteria from the microflora of cockroaches
Extensive applications of organochlorine pesticides like endosulfan have led to the
contamination of soil and environments. Five different bacteria were isolated from …
contamination of soil and environments. Five different bacteria were isolated from …
A close to real-time prediction method of total coliform bacteria in foods based on image identification technology and artificial neural network
Y Yin, Y Ding - Food Research International, 2009 - Elsevier
A prediction method of total coliform bacteria based on image identification technology in
foods was proposed. In order to get the close to real-time detection results, this method used …
foods was proposed. In order to get the close to real-time detection results, this method used …
Artificial neural network based identification of Campylobacter species by Fourier transform infrared spectroscopy
Two prototypes of artificial neural network (ANN), multilayer perceptron (MLP), and
probabilistic neural network (PNN), were used to analyze infrared (IR) spectral data …
probabilistic neural network (PNN), were used to analyze infrared (IR) spectral data …
Towards large-scale FAME-based bacterial species identification using machine learning techniques
In the last decade, bacterial taxonomy witnessed a huge expansion. The swift pace of
bacterial species (re-) definitions has a serious impact on the accuracy and completeness of …
bacterial species (re-) definitions has a serious impact on the accuracy and completeness of …
Phytotoxicity of Salvia spp. exudates
A study on thirteen Salvia species about the phytotoxicity of their aerial part exudates is
reported. The selected species were: Salvia namaensis Schinz (1), Salvia fallax Fernald (2) …
reported. The selected species were: Salvia namaensis Schinz (1), Salvia fallax Fernald (2) …
Intraspecific diversity of Edwardsiella ictaluri isolates from diseased freshwater catfish, Pangasianodon hypophthalmus (Sauvage), cultured in the Mekong Delta …
A molecular epidemiology study was conducted on 90 Edwardsiella ictaluri isolates
recovered from diseased farmed freshwater catfish, Pangasianodon hypophthalmus …
recovered from diseased farmed freshwater catfish, Pangasianodon hypophthalmus …
Use of unsupervised and supervised artificial neural networks for the identification of lactic acid bacteria on the basis of SDS-PAGE patterns of whole cell proteins
Conventional multivariate statistical techniques (hierarchical cluster analysis, linear
discriminant analysis) and unsupervised (Kohonen Self Organizing Map) and supervised …
discriminant analysis) and unsupervised (Kohonen Self Organizing Map) and supervised …
Classification of Camellia species from 3 sections using leaf anatomical data with back-propagation neural networks and support vector machines
Leaf characteristics provide many useful clues for taxonomy. We used a back-propagation
artificial neural network (BP-ANN) and C-support vector machines (C-SVMs) to classify 47 …
artificial neural network (BP-ANN) and C-support vector machines (C-SVMs) to classify 47 …