Biomarker discovery for arsenic exposure using functional data. Analysis and feature learning of mass spectrometry proteomic data

Journal of Proteome Research

Volumn 7, Issue 1, 2008, Pages 217-224

  Harezlak, Jaroslaw ^a   Wu, Michael C ^b   Wang, Mike ^b   Schwartzman, Armin ^b,c   Christiani, David C ^b   Lin, Xihong ^b  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC; BIOLOGICAL MARKER;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; BANGLADESH; CONCENTRATION (PARAMETERS); ENDEMIC DISEASE; EXPOSURE; GENE OVEREXPRESSION; HUMAN; HUMAN TISSUE; LEARNING; MAJOR CLINICAL STUDY; MOLECULAR MODEL; NONPARAMETRIC TEST; PRIORITY JOURNAL; PROTEIN BLOOD LEVEL; PROTEIN EXPRESSION; PROTEOMICS; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; SYSTEMATIC REVIEW; WATER SAMPLING;

ALGORITHMS; ARSENIC; ARSENIC POISONING; BANGLADESH; BIOLOGICAL MARKERS; BLOOD PROTEINS; ENVIRONMENTAL EXPOSURE; GENE EXPRESSION REGULATION; HUMANS; MASS SPECTROMETRY; MODELS, STATISTICAL; PROTEOMICS;

EID: 38649132568     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr070491n     Document Type: Article

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