Predicting the Antigenic Variant of Human Influenza A(H3N2) Virus with a Stacked Auto-Encoder Model

• 作 者: Zhiying Tan Kenli Li Taijiao J
• 机 构: CollegeofComputerScienceandElectronicEngineering,CenterofSystemMedicine,SuzhouInstituteofSystemsMedi
• 出 处: 国际计算机前沿大会会议论文集
• 发表日期: 2017年2期
• 关键词: Stacked auto-encoder Antigenic VARIATION nfluenza Machine learning

The influenza virus changes its antigenicity frequently due to rapid mutations, leading to immune escape and failure of vaccination. Rapid determination of the influenza antigenicity could help identify the antigenic variants in time. Here, we built a sta