Normalization approaches for removing systematic biases associated with mass spectrometry and label-free proteomics

Journal of Proteome Research

Volumn 5, Issue 2, 2006, Pages 277-286

  Callister, Stephen J ^a   Barry, Richard C ^a   Adkins, Joshua N ^a   Johnson, Ethan T ^a   Qian, Wei Jun ^a   Webb Robertson, Bobbie Jo M ^a   Smith, Richard D ^a   Lipton, Mary S ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

bias; Extraneous variability; Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS); Normalization; Proteomics; Relative quantification

Indexed keywords

METHAMPHETAMINE;

ANIMAL TISSUE; ARTICLE; BACTERIAL GROWTH; CORPUS STRIATUM; DEINOCOCCUS RADIODURANS; ION CYCLOTRON RESONANCE MASS SPECTROMETRY; LINEAR REGRESSION ANALYSIS; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MOUSE; NONHUMAN; PRIORITY JOURNAL; PROTEOMICS; QUANTITATIVE ANALYSIS;

ANIMALS; BIAS (EPIDEMIOLOGY); CENTRAL NERVOUS SYSTEM STIMULANTS; CORPUS STRIATUM; DEINOCOCCUS; FOURIER ANALYSIS; MASS SPECTROMETRY; METHAMPHETAMINE; MICE; MICE, INBRED C57BL; PEPTIDES; PROTEOMICS;

ANIMALIA; BACTERIA (MICROORGANISMS); DEINOCOCCUS RADIODURANS;

EID: 32344442813     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr050300l     Document Type: Article

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