中文摘要：

基因识别是生物信息学研究的一个分支.多元统计中的判别分析方法模型简单、便于解释,处理剪切位点的识别问题效果良好,但极易受到异常值的影响.对于传统判别分析方法,使用稳健统计量进行优化,得到较好的效果,并通过加权方法进一步提高了判别分析方法的稳健性,取得了更好的识别效果.加权稳健判别分析方法稳健性高、受离群值影响小,对其他分类判别问题具有很好的实际意义和参考价值.

英文摘要：

Gene recognition is a branch of Biogenetics.Discriminant analysis method,which is involved in multivariate statistical analysis,is of simple style and easy to interpret.However,it is influenced by outliers remarkably.In this essay,we plug robust statistics,such as M estimators,MVE estimators and MCD estimators,into classical discriminant analysis,and better results are attained.In addition,we improved this by adding a weighting process,and the robustness and efficiency are enhanced to a certain extent.The weighted robust discriminant analysis method performs well,and has practical and referential implications for other related problems.