The C-Score: A bayesian framework to sharply improve proteoform scoring in high-throughput top down proteomics

Journal of Proteome Research

Volumn 13, Issue 7, 2014, Pages 3231-3240

  Leduc, Richard D ^a   Fellers, Ryan T ^b   Early, Bryan P ^b   Greer, Joseph B ^b   Thomas, Paul M ^b   Kelleher, Neil L ^b  

^a INDIANA UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Bayesian scoring; proteoform characterization; top down proteomics

Indexed keywords

ACCURACY; ACETYLATION; ARTICLE; BAYES THEOREM; GENE PRODUCT; HUMAN; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; PROTEIN PHOSPHORYLATION; PROTEOMICS; PSEUDOMONAS; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; AMINO ACID SEQUENCE; AREA UNDER THE CURVE; CHEMISTRY; HELA CELL LINE; MOLECULAR GENETICS; PEPTIDE MAPPING; PROCEDURES; PSEUDOMONAS AERUGINOSA; STANDARDS; STATISTICAL ANALYSIS; TANDEM MASS SPECTROMETRY;

BACTERIAL PROTEIN; PROTEOME;

AMINO ACID SEQUENCE; AREA UNDER CURVE; BACTERIAL PROTEINS; BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; HELA CELLS; HUMANS; MOLECULAR SEQUENCE DATA; PEPTIDE MAPPING; PROTEOME; PROTEOMICS; PSEUDOMONAS AERUGINOSA; ROC CURVE; TANDEM MASS SPECTROMETRY;

EID: 84903691172     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr401277r     Document Type: Article

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