摘要
B细胞表位预测在蛋白抗体制备、疫苗设计中都具有重要的应用。基于支持向量机方法设计了一个B细胞线性表位预测模型,运用了多群集特征选择算法进行特征选择,有效提高了预测准确率。
B-cell epitope prediction has important applications in protein antibody preparation and vaccine design.This paper designs a higher accuracy B-cell linear epitope prediction model based on support vector machine and using Multi-Cluster feature selection.
引文
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