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Article

Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses.

Bioinformatics (Oxford, England) - 15 Oct 2017

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

Abstract excerpt

MOTIVATION: Low-rank matrix completion has been demonstrated to be powerful in predicting antigenic distances among influenza viruses and vaccines from partially revealed hemagglutination inhibition table. Meanwhile, influenza hemagglutinin (HA) protein sequences are also effective in inferring antigenic distances. Thus, it is natural to integrate HA protein sequence information into low-rank matrix completion...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 28637337
DOI: 10.1093/bioinformatics/btx390

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