期刊文献+

数据挖掘在杂种优势预测中的研究

Study of Data Mining in the Prediction of Heterosis
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摘要 提出将数据挖掘技术和分子标记技术相结合的方法来进行杂种优势预测,将数据挖掘技术应用于分子标记的筛选、亲本间的关系分析和预测模型的建立中,并应用Jackknife抽样技术对预测分析进行检验,结果证明该方法具有一定的实用价值. A method heterosis predi relationship be ctlon. tween is proposed in which Application of data the parents and th Jackknife sampling technique in the test practical value. h data mining is combined with molecular marke mining in the screening of molecular markers, th e establishment of the prediction model, and em of prediction analysis have proved that this method has a certain practical value.
出处 《西南大学学报(自然科学版)》 CAS CSCD 北大核心 2007年第9期139-142,共4页 Journal of Southwest University(Natural Science Edition)
基金 国家"863"计划资助项目(20060110Z1053)
关键词 数据挖掘 分子标记 杂优预测 data mining molecular marker heterosis prediction
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