Genus-wide Bacillus species identification through proper artificial neural network experiments on fatty acid profiles
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Bernard De Baets | Peter Dawyndt | Bram Slabbinck | B. Slabbinck | B. De Baets | P. Dawyndt | P. Vos | Paul Vos | Bram Slabbinck
[1] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[2] David G. Stork,et al. Pattern Classification , 1973 .
[3] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[4] P. de Vos,et al. Polyphasic Taxonomy , a Consensus Approach to Bacterial Systematics , 1996 .
[5] P. Harrington,et al. Validation using sensitivity and target transform factor analyses of neural network models for classifying bacteria from mass spectra , 2002, Journal of the American Society for Mass Spectrometry.
[6] John J. Kelly,et al. Use of 16S rRNA, 23S rRNA, and gyrB Gene Sequence Analysis To Determine Phylogenetic Relationships of Bacillus cereus Group Microorganisms , 2004, Journal of Clinical Microbiology.
[7] Mauro Giacomini,et al. An Advanced Approach Based on Artificial Neural Networks to Identify Environmental Bacteria , 2007 .
[8] T. Hadfield,et al. Repeatability and pattern recognition of bacterial fatty acid profiles generated by direct mass spectrometric analysis of in situ thermal hydrolysis/methylation of whole cells. , 2003, Talanta.
[9] David J. Hand,et al. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.
[10] Graham R. Ball,et al. Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis , 2005, Bioinform..
[11] M. Collins,et al. Phylogenetic heterogeneity of the genus Bacillus revealed by comparative analysis of small‐subunit‐ribosomal RNA sequences , 1991 .
[12] P. Vos,et al. Applications and systematics of Bacillus and relatives. , 2002 .
[13] John J. Kelly,et al. Use of 16S rRNA, 23S rRNA, and gyrB Gene Sequence Analysis To Determine Phylogenetic Relationships of Bacillus cereus Group Microorganisms , 2006, Journal of Clinical Microbiology.
[14] M. Madigan,et al. Brock Biology of Microorganisms , 1996 .
[15] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[16] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[17] W. Whitman,et al. Report of the ad hoc committee for the re-evaluation of the species definition in bacteriology. , 2002, International journal of systematic and evolutionary microbiology.
[18] Bernard De Baets,et al. Mining fatty acid databases for detection of novel compounds in aerobic bacteria. , 2006, Journal of microbiological methods.
[19] D. Mouwen,et al. Artificial neural network based identification of Campylobacter species by Fourier transform infrared spectroscopy. , 2006, Journal of microbiological methods.
[20] R. Berti,et al. Interpretation of gascromatographic data via artificial neural networks for the classification of marine bacteria , 2004, Cytotechnology.
[21] Peter Kämpfer,et al. Limits and Possibilities of Total Fatty Acid Analysis for Classification and Identification of Bacillus Species , 1994 .
[22] K. Venkateswaran,et al. Bacillus tequilensis sp. nov., isolated from a 2000-year-old Mexican shaft-tomb, is closely related to Bacillus subtilis. , 2006, International journal of systematic and evolutionary microbiology.
[23] K. Abel,et al. CLASSIFICATION OF MICROORGANISMS BY ANALYSIS OF CHEMICAL COMPOSITION I , 1963, Journal of bacteriology.
[24] F. Drobniewski,et al. Bacillus cereus and related species , 1993, Clinical Microbiology Reviews.
[25] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[26] Foster J. Provost,et al. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction , 2003, J. Artif. Intell. Res..
[27] D B Kell,et al. Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks. , 1998, Microbiology.
[28] Laurene V. Fausett,et al. Fundamentals Of Neural Networks , 1994 .
[29] Ryan M. Rifkin,et al. In Defense of One-Vs-All Classification , 2004, J. Mach. Learn. Res..
[30] Bacterial Identification by Gas Chromatograph ic Analysis of Fatty Acids Methyl Esters ( GC-FAME ) , 2001 .
[31] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[32] Peter Dawyndt,et al. Raman microspectroscopy as an identification tool within the phylogenetically homogeneous 'Bacillus subtilis' group. , 2006, Systematic and applied microbiology.
[33] M Giacomini,et al. Artificial neural network based identification of environmental bacteria by gas-chromatographic and electrophoretic data. , 2000, Journal of microbiological methods.
[34] A. Kolstø,et al. The Bacillus cereus group: novel aspects of population structure and genome dynamics , 2006, Journal of applied microbiology.
[35] Lawrence G. Wayne,et al. International Committee on Systematic Bacteriology: Announcement of the Report of the Ad Hoc Committee on Reconciliation of Approaches to Bacterial Systematics , 1988 .
[36] L. Miller. Single derivatization method for routine analysis of bacterial whole-cell fatty acid methyl esters, including hydroxy acids , 1982, Journal of clinical microbiology.
[37] M. Sasser,et al. 1 1 IDENTIFICATION OF MICROORGANISMS USING FATTY ACID METHYL ESTER ( FAME ) ANALYSIS AND THE MIDI SHERLOCK ® MICROBIAL IDENTIFICATION SYSTEM , 2006 .
[38] C. Ruggiero,et al. Automated systems for identification of heterotrophic marine bacteria on the basis of their Fatty Acid composition , 1996, Applied and environmental microbiology.
[39] Erko Stackebrandt,et al. Taxonomic Note: A Place for DNA-DNA Reassociation and 16S rRNA Sequence Analysis in the Present Species Definition in Bacteriology , 1994 .
[40] J. Euzéby. List of prokaryotic names with standing in nomenclature-genus Roseomonas , 2006 .