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基于机器学习预测H1亚型流感病毒抗原变异的研究

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摘要 流感病毒的抗原变异会导致接种疫苗的失效,H1亚型流感病毒是流感病毒的典型代表,研究机器学习在H1亚型流感病毒抗原变异中的应用可实现利用决策树模型快速预测病毒的抗原性转变,进一步可基于关联规则分析挖掘影响H1型流感病毒抗原变异的关键氨基酸位点,从而为疫苗的推荐选择及相关理论研究提供帮助。
作者 王佳 吴宇伦
出处 《信息通信》 2018年第9期63-64,共2页 Information & Communications
基金 中央高校基本科研业务费专项基金资助(项目批准号2662016PY035)
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