基于支持向量机的B细胞线性表位预测模型

Prediction of B-cell linear epitope based on support vector machine

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.