Statistical Evaluation of Local Alignment Features Predicting Allergenicity Using Supervised Classification Algorithms

International Archives of Allergy and Immunology

Volumn 133, Issue 2, 2004, Pages 101-112

  Soeria Atmadja, D ^a   Zorzet, A ^a   Gustafsson, M G ^a   Hammerling, U ^a  

^a UPPSALA UNIVERSITY   (Sweden)

Author keywords

Allergy; Amino acid sequence; Computational toxicology; Risk assessment

Indexed keywords

ALGORITHM; ALLERGIC REACTION; ARTICLE; ATOPY; CLINICAL FEATURE; DATA BASE; DISEASE CLASSIFICATION; EVALUATION; FOOD ALLERGY; NORMAL DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL ANALYSIS;

ALGORITHMS; ALLERGENS; AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; DECISION TREES; FOOD HYPERSENSITIVITY; FOOD, GENETICALLY MODIFIED; HUMANS; MODELS, IMMUNOLOGICAL; SEQUENCE ALIGNMENT;

EID: 1542316862     PISSN: 10182438     EISSN: None     Source Type: Journal    
DOI: 10.1159/000076382     Document Type: Article

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