title: Application of neural networks to the analysis of pyrolysis mass spectra.
abstract: Pyrolysis mass spectrometry is a data rich analysis technique now becoming widely applied in microbiology. Data analysis is a key step in the exploitation of the technique and the application of neural network analysis to pyrolysis mass spectrometric data offers new opportunities for classification, identification and inter-strain comparison of microorganisms in biotechnology and clinical microbiology. The use of a supervised neural network for the identification of members of a streptomycete species-group is described.
authors.affiliation: Department of Microbiology, Medical School, Newcastle-upon-Tyne, UK.
authors.forename: R G
authors.initials: RG
authors.lastname: Kenyon
authors.forename: E V
authors.initials: EV
authors.lastname: Ferguson
authors.forename: A C
authors.initials: AC
authors.lastname: Ward
mesh_terms: D013058:Mass Spectrometry; D016571:Neural Networks, Computer; D013302:Streptomyces / Q000302:isolation & purification*