Selection and combination of machine learning classifiers for prediction of linear B-cell epitopes on proteins

Journal of Molecular Recognition

Volumn 19, Issue 3, 2006, Pages 209-214

  Söllner, Johannes ^a,b  

^a INTERCELL AG   (Austria)

^b NONE   (Austria)

Author keywords

Classification algorithm; Ensemble; Epitope; Machine learning; Neural network; ROC

Indexed keywords

EPITOPE; PROTEIN; VIRUS PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; CLASSIFICATION; HUMAN IMMUNODEFICIENCY VIRUS; IMMUNOLOGY; METABOLISM; METHODOLOGY; REPRODUCIBILITY; ROC CURVE; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EPITOPES, B-LYMPHOCYTE; HIV; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PROTEINS; REPRODUCIBILITY OF RESULTS; ROC CURVE; VIRAL PROTEINS;

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 33745047369     PISSN: 09523499     EISSN: 10991352     Source Type: Journal    
DOI: 10.1002/jmr.770     Document Type: Article

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