Summarization vs peptide-based models in label-free quantitative proteomics: Performance, pitfalls, and data analysis guidelines

Journal of Proteome Research

Volumn 14, Issue 6, 2015, Pages 2457-2465

  Goeminne, Ludger J E ^a   Argentini, Andrea ^a   Martens, Lennart ^a   Clement, Lieven ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

data analysis; differential proteomics; linear model

Indexed keywords

FUNGAL PROTEIN; PEPTIDE; PROTEOME;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; FUNGAL STRAIN; HUMAN; NONHUMAN; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEOMICS; QUANTITATIVE ANALYSIS; QUANTITATIVE PROTEOMICS; RANDOM SAMPLE; RECEIVER OPERATING CHARACTERISTIC; SACCHAROMYCES CEREVISIAE; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; YEAST; CHEMICAL MODEL; CHEMISTRY; PRACTICE GUIDELINE; STATISTICAL ANALYSIS;

DATA INTERPRETATION, STATISTICAL; GUIDELINES AS TOPIC; MODELS, CHEMICAL; PEPTIDES; PROTEOMICS; ROC CURVE;

EID: 84930609082     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr501223t     Document Type: Article

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