Standardization and denoising algorithms for mass spectra to classify whole-organism bacterial specimens.

Satten, Glen A; Datta, Somnath; Moura, Hercules; Woolfitt, Adrian R; Carvalho, Maria da G; Carlone, George M; De, Barun K; Pavlopoulos, Antonis; Barr, John R

Satten, Glen A; Datta, Somnath; Moura, Hercules; Woolfitt, Adrian R; Carvalho, Maria da G; Carlone, George M; De, Barun K; Pavlopoulos, Antonis; Barr, John R.

Affiliation

Satten GA; Division of Laboratory Science, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. gsatten@cdc.gov

Bioinformatics ; 20(17): 3128-36, 2004 Nov 22.

Article in En | MEDLINE | ID: mdl-15217815

Subject(s)

Artificial Intelligence; Bacteria/isolation & purification; Bacteria/metabolism; Bacterial Proteins/analysis; Biomarkers/analysis; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods; Algorithms; Bacteria/classification; Escherichia coli/isolation & purification; Escherichia coli/metabolism; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/standards

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Collection: 01-internacional Database: MEDLINE Main subject: Bacteria / Bacterial Proteins / Artificial Intelligence / Biomarkers / Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Type of study: Evaluation_studies / Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2004 Document type: Article Affiliation country: United States Country of publication: United kingdom

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