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Article

Predicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method.

Scientific reports - 8 May 2017

Yao Yuhua, Li Xianhong, Liao Bo, Huang Li, He Pingan, Wang Fayou, Yang Jiasheng, Sun Hailiang, Zhao Yulong, Yang Jialiang

Abstract excerpt

Timely identification of emerging antigenic variants is critical to influenza vaccine design. The accuracy of a sequence-based antigenic prediction method relies on the choice of amino acids substitution matrices. In this study, we first compared a comprehensive 95 substitution matrices reflecting various amino acids properties in predicting the antigenicity of influenza viruses by a random forest model. We then...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 28484283
DOI: 10.1038/s41598-017-01699-z
PMCID: PMC5431489

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