Allerdictor: fast allergen prediction using text classification techniques.
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The Alternaria genomes database: a comprehensive resource for a fungal genus comprised of saprophytes, plant pathogens, and allergenic speciesDe Novo Transcriptome Analysis and Detection of Antimicrobial Peptides of the American Cockroach Periplaneta americana (Linnaeus)Predicting cancerlectins by the optimal g-gap dipeptides.Alternaria Toxins: Potential Virulence Factors and Genes Related to Pathogenesis.In silico proposition to predict cluster of B- and T-cell epitopes for the usefulness of vaccine design from invasive, virulent and membrane associated proteins of C. jejuni.A machine-learning approach for predicting palmitoylation sites from integrated sequence-based features.Distinguishing allergens from non-allergenic homologues using Physical-Chemical Property (PCP) motifs.Investigation of immunogenic properties of Hemolin from silkworm, Bombyx mori as carrier protein: an immunoinformatic approach.
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Allerdictor: fast allergen prediction using text classification techniques.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 26 January 2014
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Allerdictor: fast allergen prediction using text classification techniques.
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Allerdictor: fast allergen prediction using text classification techniques.
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type
label
Allerdictor: fast allergen prediction using text classification techniques.
@en
Allerdictor: fast allergen prediction using text classification techniques.
@nl
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Allerdictor: fast allergen prediction using text classification techniques.
@en
Allerdictor: fast allergen prediction using text classification techniques.
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P2860
P356
P1433
P1476
Allerdictor: fast allergen prediction using text classification techniques.
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P2093
Christopher B Lawrence
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P304
P356
10.1093/BIOINFORMATICS/BTU004
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P577
2014-01-26T00:00:00Z