Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning

K De Bruyne, B Slabbinck, W Waegeman… - Systematic and applied …, 2011 - Elsevier
At present, there is much variability between MALDI-TOF MS methodology for the
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

C Winter, T Hein, G Kavka, RL Mach… - Applied and …, 2007 - Am Soc Microbiol
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 …

[PDF][PDF] Isolation and characterization of α-endosulfan degrading bacteria from the microflora of cockroaches

M Ozdal, OG Ozdal, OF Algur - Polish journal of microbiology, 2016 - sciendo.com
Extensive applications of organochlorine pesticides like endosulfan have led to the
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 …

Towards large-scale FAME-based bacterial species identification using machine learning techniques

B Slabbinck, B De Baets, P Dawyndt… - Systematic and applied …, 2009 - Elsevier
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 …

Artificial neural network based identification of Campylobacter species by Fourier transform infrared spectroscopy

DJM Mouwen, R Capita, C Alonso-Calleja… - Journal of …, 2006 - Elsevier
Two prototypes of artificial neural network (ANN), multilayer perceptron (MLP), and
probabilistic neural network (PNN), were used to analyze infrared (IR) spectral data …

Intraspecific diversity of Edwardsiella ictaluri isolates from diseased freshwater catfish, Pangasianodon hypophthalmus (Sauvage), cultured in the Mekong Delta …

KL Bartie, FW Austin, A Diab, C Dickson… - Journal of fish …, 2012 - Wiley Online Library
A molecular epidemiology study was conducted on 90 Edwardsiella ictaluri isolates
recovered from diseased farmed freshwater catfish, Pangasianodon hypophthalmus …

Phytotoxicity of Salvia spp. exudates

A Bisio, D Fraternale, M Giacomini, E Giacomelli… - Crop Protection, 2010 - Elsevier
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) …

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

P Piraino, A Ricciardi, G Salzano, T Zotta… - Journal of microbiological …, 2006 - Elsevier
Conventional multivariate statistical techniques (hierarchical cluster analysis, linear
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

W Jiang, BB ÖZAKTAŞ, N Mantri… - Turkish Journal of …, 2013 - journals.tubitak.gov.tr
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 …