PSEA-quant: A protein set enrichment analysis on label-free and label-based protein quantification data

Journal of Proteome Research

Volumn 13, Issue 12, 2014, Pages 5496-5509

  Lavallée Adam, Mathieu ^a   Rauniyar, Navin ^a   McClatchy, Daniel B ^a   Yates, John R ^a  

^a SCRIPPS RESEARCH INSTITUTE   (United States)

Author keywords

bioinformatics; computational biology; cystic fibrosis; gene ontology; gene set enrichment analysis; isobaric tandem mass tagging; mass spectrometry; protein quantification; spectral counting; statistics

Indexed keywords

ALGORITHM; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; BIOLOGICAL PHENOMENA AND FUNCTIONS CONCERNING THE ENTIRE ORGANISM; CONTROLLED STUDY; GENE ONTOLOGY; HUMAN; HUMAN CELL; HUMAN TISSUE; MEASUREMENT; MOUSE; NONHUMAN; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEOMICS; QUANTITATIVE ANALYSIS; RAT; STATISTICAL ANALYSIS; ANIMAL; BIOLOGY; BRAIN; CELL LINE; GENETICS; LIQUID CHROMATOGRAPHY; METABOLISM; MUTATION; PROCEDURES; PROTEIN DATABASE; TANDEM MASS SPECTROMETRY;

CYSTIC FIBROSIS TRANSMEMBRANE CONDUCTANCE REGULATOR; PROTEIN; PROTEOME;

ALGORITHMS; ANIMALS; BRAIN; CELL LINE; CHROMATOGRAPHY, LIQUID; COMPUTATIONAL BIOLOGY; CYSTIC FIBROSIS TRANSMEMBRANE CONDUCTANCE REGULATOR; DATABASES, PROTEIN; HUMANS; MICE; MUTATION; PROTEINS; PROTEOME; PROTEOMICS; RATS; TANDEM MASS SPECTROMETRY;

EID: 84915731708     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr500473n     Document Type: Article

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