Using chou’s pseudo amino acid composition and machine learning method to predict the antiviral peptides

Open Bioinformatics Journal

Volumn 9, Issue 1, 2014, Pages 13-19

  Zare, Maryam ^a   Mohabatkar, Hassan ^a   Faramarzi, Fateme Kazemi ^a   Beigi, Majid Mohammad ^a   Behbahani, Mandana ^a  

^a UNIVERSITY OF ISFAHAN   (Iran)

Author keywords

Antiviral peptides; Machine learning approach; Pseudo amino acid composition

Indexed keywords

ANTIVIRAL PEPTIDE; ANTIVIRUS AGENT; UNCLASSIFIED DRUG;

ADABOOST; ALGORITHM; AMINO ACID COMPOSITION; AREA UNDER THE CURVE; ARTICLE; HUMAN; MACHINE LEARNING; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; NONHUMAN; PREDICTOR VARIABLE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SEQUENCE HOMOLOGY;

EID: 84926335454     PISSN: None     EISSN: 18750362     Source Type: Journal    
DOI: 10.2174/1875036201509010013     Document Type: Article

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