| 偏最小二乘方法和二次判别分析方法应用于基因芯片数据分析 |
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| 引用本文： | 胡煜. 偏最小二乘方法和二次判别分析方法应用于基因芯片数据分析[J]. 鞍山师范学院学报, 2007, 9(4): 20-24 |
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| 作者姓名： | 胡煜 |
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| 作者单位： | 广东工贸职业技术学院,广州,广东,510510 |
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| 摘 要： | 主要用偏最小二乘(PLS)方法和二次判别分析(QDA)有监督分类的方法来对基因芯片(微阵列)数据进行分析.PLS是一种提取海量的数据有效特征的有效方法,可以获得与原来基因芯片数据更为接近的成分的提取特征的效果.结果表明用PLS方法事先对数据处理可以提高基因芯片数据分析的准确性.
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| 关 键 词： | 基因芯片数据分析 偏最小二乘 二次判别分析 |
PLS Dimensiona Reduction and Quadratic Discriminant Analysis(QDA) to Be Applied on Gene Data Expression Analysis |
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| HU Yu. PLS Dimensiona Reduction and Quadratic Discriminant Analysis(QDA) to Be Applied on Gene Data Expression Analysis[J]. Journal of Anshan Teachers College, 2007, 9(4): 20-24 |
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| Authors: | HU Yu |
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| Abstract: | The paper aims at the partial least square PLS dimensiona reduction and quadratic discriminant analysis(QDA),discriminant methods: to do the data analysis on gene chip(micoarray).PLS,which has been developed recently,is an efficient method for analyzing numerous data.It can extract the features much closer to the gene data expression of originality.It shows that when PLS is pre-disposal of the dataset,the accuracy of classification of gasoline is improved noticeably. |
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| Keywords: | Gene data expression analysis Partial least square Quadratic discriminant analysis |
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