肿瘤基因选择方法LLE Score

针对处理肿瘤基因表达数据特征选择问题,提出了一种特征选择方法 LLE Score.该方法是典型的过滤器类型特征选择方法,在样本类别信息的基础上,LLE Score针对特征向量的局部邻域保存能力进行评价,并且根据评价结果进行特征的选取,以此达到良好的特征选择效果.在实验部分对肿瘤数据集进行特征选择,并采用支持向量机分类器计算分类准确率.通过分类准确率说明了该方法的有效性.

Feature Selection Method LLE Score Used for Tumor Gene Expressive Data

To solve the problem of feature selection based on tumor gene expression data, this paper presents a feature selection method called LLE Score. The algorithm is a typical filter feature selection method based on the label information of sample. To achieve good feature selection, LLE Score can evaluate the feature vector according to the capability of saving the local neighborhood, and the featureis selected according to the evaluation results. Tumor gene expressive dataset is used by LLE Score to demonstrate the feasibility. The effectiveness of LLE Score is evaluated by the classification accuracy of support vector machine ( SVM) classifier.