A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay

Journal of Allergy and Clinical Immunology

Volumn 129, Issue 5, 2012, Pages

  Lin, Jing ^a   Bruni, Francesca M ^b   Fu, Zhiyan ^a   Maloney, Jennifer ^a   Bardina, Ludmilla ^a   Boner, Attilio L ^b   Gimenez, Gustavo ^a   Sampson, Hugh A ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF VERONA   (Italy)

Author keywords

allergy diagnosis; bioinformatics; epitope biomarker; Epitope mapping; machine learning; peanut allergy; peptide microarray

Indexed keywords

IMMUNOGLOBULIN E; IMMUNOGLOBULIN G4;

ADOLESCENT; ARTICLE; BIOINFORMATICS; CHILD; CLINICAL ARTICLE; DATA ANALYSIS; DIAGNOSTIC VALUE; FEMALE; HUMAN; IMMUNOASSAY; IMMUNOLOGICAL TOLERANCE; MACHINE LEARNING; MALE; MATHEMATICAL MODEL; PEANUT ALLERGY; PEPTIDE ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN MICROARRAY;

EID: 84862830155     PISSN: 00916749     EISSN: 10976825     Source Type: Journal    
DOI: 10.1016/j.jaci.2012.02.012     Document Type: Article

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