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甲型H1N1流感病毒DNA序列碱基的预测
引用本文:刘娟,高洁. 甲型H1N1流感病毒DNA序列碱基的预测[J]. 生物信息学, 2011, 9(3): 259-262. DOI: 10.3969/j.issn.1672-5565.2011.03.020
作者姓名:刘娟  高洁
作者单位:江南大学理学院,无锡,214122
基金项目:江南大学创新团队发展计划资助
摘    要:甲型流感H1N1亚型曾给人类带来了重大灾难。本文提出了一种利用时间序列模型预测碱基的方法,对所选取的1970年~2010年同源性相对较高的41条H1N1流感病毒数据利用ARIMA(p,d,q)模型对前20个位置去拟合并且预测,除极个别外由预报区域图显示原始数据都在预报区域内,表明模型建立的比较合理,预报效果很好,这对H1N1病毒的研究有着重要的意义。

关 键 词:H1N1  时间序列模型  ARIMA(p,d,q)模型

Forecasting bases for DNA sequences of influenza virus A /H1N1
LIU Juan,GAO Jie. Forecasting bases for DNA sequences of influenza virus A /H1N1[J]. Chinese Journal of Bioinformatics, 2011, 9(3): 259-262. DOI: 10.3969/j.issn.1672-5565.2011.03.020
Authors:LIU Juan  GAO Jie
Affiliation:LIU Juan,GAO Jie(School of Science,Jiangnan University,Wuxi 214122,China)
Abstract:Influenza virus A/H1N1 brought a major disaster to human in the past 2009.This paper proposes a method of forecasting bases by time series model.we choose 41 flu H1N1 data with high homology and use ARIMA(p,d,q) model to simulate and forecast the top 20 positions.The forecast figure displays the original data is in the forecast area.This indicates that we establish reasonable models which have a better forecast.It is significant for the studing on H1N1 virus.
Keywords:H1N1  time series model  ARIMA(p  d  q) model  
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