The third chapter gives the prediction of protein subcellular location.
第三章为蛋白质亚细胞定位的预测。
A method to predict the subcellular location of proteins is proposed based on the LZ complexity similarity of symbolic sequences and K nearest neighbor rule.
提出了一个基于符号序列LZ复杂性相似度和K近邻规则的蛋白质亚细胞位点类型预测的方法。
By use of proteins amino acid composition, the subcellular location of a protein can be predicted by calculating increment of diversity and finite coefficient of diversity.
利用蛋白质中氨基酸组分，通过计算离散增量和离散有限系数预测蛋白质的亚细胞定位。
Subcellular location of apoptosis proteins is closely related to their function.
细胞凋亡蛋白的亚细胞位置与它的功能紧密相联。
Subcellular location of apoptosis proteins is closely related to their function.
细胞凋亡蛋白的亚细胞位置与它的功能紧密相联。
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