Bioinformatics models for predicting antigenic variants of influenza A/ H3N2 virus

Bioinformatics

Volumn 24, Issue 4, 2008, Pages 505-512

  Liao, Yu Chieh ^a   Lee, Min Shi ^b   Ko, Chin Yu ^a   Hsiung, Chao A ^a  

^a Division of Biostatistics and Bioinformatics   (Taiwan)

^b NATIONAL HEALTH RESEARCH INSTITUTES   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AMINO ACID SEQUENCE; ANTIGENIC VARIATION; ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; INFLUENZA VIRUS A H3N2; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MULTIPLE REGRESSION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; VIRUS ISOLATION;

INFLUENZA A VIRUS;

EID: 39149126039     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btm638     Document Type: Article

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