分析了多分类器融合算法的理论框架，并采用决策模板算法对蛋白质结构类的预测问题进行了研究。

We investigate the theoretical framework of multiple classifiers fusion, and apply the decision template algorithms to classify the protein secondary structural classes.

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利用神经网络和蛋白质全序列对蛋白质结构类进行了预测。

The whole protein sequence and a neural network were used to predict protein structural classes.

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