在本文中，我们提出了一个战略，结合各种特征选择方法来预测蛋白质的亚细胞位置。
In this paper, we propose a strategy to predict the subcellular locations of proteins by combining various feature selection methods.
最近邻算法是用来作为预测模型预测蛋白质的亚细胞位置，并获得一个正确的预测准确率70.63％，刀切交叉验证评估。
Nearest Neighbor Algorithm is used as a prediction model to predict the protein subcellular locations, and gains a correct prediction rate of 70.63%, evaluated by Jackknife cross-validation.
蛋白质处于特定的亚细胞位置上才能行使其功能，故研究亚细胞定位对了解蛋白质功能非常重要。
Protein can work only in specific subcellular position, so where the protein located in a cell is very important for the study of the protein functions.
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