If considering the combination of the increment of diversity, the result of prediction is further improved. Finally, these results are discussed.
在此基础上，把离散增量的二次组合作为预测指标进行了预测，所得结果有了进一步改善，最后对结果进行了讨论。
参考来源 - 蛋白质亚细胞定位的序列分析和理论预测算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The new information coefficient improved the increment of diversity and could be applied to cluster analysis.
这一新的信息系数较离散增量信息系数有所改进，并可应用于聚类分析。
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。
A generalized distance coefficient based on information theory was given. The new information coefficient improved the increment of diversity and could be applied to cluster analysis.
给出了一种基于信息理论的广义距离系数。这一新的信息系数较离散增量信息系数有所改进，并可应用于聚类分析。
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