Rapid Identification of Species Within the Mycobacterium Tuberculosis Complex by Artificial Neural Network Analysis of Pyrolysis Mass Spectra

Journal of Medical Microbiology - United Kingdom
doi 10.1099/00222615-40-3-170
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Microbiology Society

Related search

Pyrosequencing Assay for Rapid Identification of Mycobacterium Tuberculosis Complex Species

BMC Research Notes
BiochemistryMedicineGeneticsMolecular Biology
2011English

Classification and Identification of Mycobacterium Africanum by Pyrolysis Mass Spectrometry

Microbiology
Microbiology
1983English

Rapid Discrimination of Mycobacterium Tuberculosis Complex Strains by Ligation-Mediated PCR Fingerprint Analysis.

Journal of Clinical Microbiology
Microbiology
1997English

Rapid Method for Mycobacterium Tuberculosis Identification Using Electrospray Ionization Tandem Mass Spectrometry Analysis of Mycolic Acids

Diagnostic Microbiology and Infectious Disease
MedicineInfectious DiseasesMicrobiology
2013English

Use of Immunochromatographic Assay for Rapid Identification of Mycobacterium Tuberculosis Complex From Liquid Culture

Bosnian Journal of Basic Medical Sciences
Medicine
2012English

Rapid Identification of Species, Sex and Maturity by Mass Spectrometric Analysis of Animal Faeces

BMC Biology
Developmental BiologyEvolutionEcologyGeneticsCell BiologyMolecular BiologyBiochemistryBiological SciencesSystematicsStructural BiologyPlant ScienceBehaviorBiotechnologyAgriculturalPhysiology
2019English

Evaluation of an Immunochromatographic Assay Kit for Rapid Identification of Mycobacterium Tuberculosis Complex in Clinical Isolates

Journal of Clinical Microbiology
Microbiology
2009English

Identification of Cryptosporidium Parvum Oocysts by an Artificial Neural Network Approach

Applied and Environmental Microbiology
Applied MicrobiologyBiotechnologyEcologyFood Science
2002English

HCCI Intelligent Rapid Modeling by Artificial Neural Network and Genetic Algorithm

Journal of Combustion
Fuel TechnologyPower TechnologyEnergy EngineeringChemical EngineeringCondensed Matter Physics
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy