A bayesian mixture model for comparative spectral count data in shotgun proteomics

Molecular and Cellular Proteomics

Volumn 10, Issue 8, 2011, Pages

  Booth, James G ^a   Eilertson, Kirsten E ^b   Olinares, Paul Dominic B ^b   Yu, Haiyuan ^a  

^a Plant Breeding and Genetics Section in the School of Integrative Plant Science   (United States)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; CALCULATION; HUMAN; MASS SPECTROMETRY; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DETERMINATION; PROTEIN EXPRESSION; PROTEOMICS; QUANTITATIVE ANALYSIS; TECHNIQUE; BAYES THEOREM; BIOLOGICAL MODEL; CHEMISTRY; COMPUTER PROGRAM; METABOLISM; MONTE CARLO METHOD; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; SACCHAROMYCES CEREVISIAE; STANDARD; STATISTICAL ANALYSIS; STATISTICAL MODEL; TANDEM MASS SPECTROMETRY;

PROTEOME; SACCHAROMYCES CEREVISIAE PROTEIN;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; PROTEOME; PROTEOMICS; REFERENCE STANDARDS; ROC CURVE; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 80051643826     PISSN: 15359476     EISSN: 15359484     Source Type: Journal    
DOI: 10.1074/mcp.M110.007203     Document Type: Article

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