Tracing the transition of methicillin resistance in sub-populations of Staphylococcus aureus, using SELDI-TOF Mass Spectrometry and Artificial Neural Network Analysis.

Shah, Haroun N; Rajakaruna, Lakshani; Ball, Graham; Misra, Raju; Al-Shahib, Ali; Fang, Min; Gharbia, Saheer E

Shah, Haroun N; Rajakaruna, Lakshani; Ball, Graham; Misra, Raju; Al-Shahib, Ali; Fang, Min; Gharbia, Saheer E.

Affiliation

Shah HN; Health Protection Agency, 61 Colindale Avenue, London NW95EQ, UK. haroun.shah@hpa.org.uk

Syst Appl Microbiol ; 34(1): 81-6, 2011 Feb.

Article in En | MEDLINE | ID: mdl-21257279

Subject(s)

Bacterial Proteins/analysis; Methicillin-Resistant Staphylococcus aureus/chemistry; Methicillin-Resistant Staphylococcus aureus/classification; Neural Networks, Computer; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods; Drug Resistance, Bacterial; Protein Array Analysis/methods; Sensitivity and Specificity

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacterial Proteins / Neural Networks, Computer / Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Methicillin-Resistant Staphylococcus aureus Type of study: Diagnostic_studies / Evaluation_studies / Prognostic_studies Language: En Journal: Syst Appl Microbiol Year: 2011 Type: Article Affiliation country: United kingdom

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