低同源蛋白质的二级结构预测至今仍然是一个困难的问题。

Prediction of lowly homological protein secondary structure is still a difficult problem up to now.

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文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。

Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.

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本文中，我们利用数据挖掘得到的统计信息数据库对蛋白质的二级结构进行了预测。

However this process is quite tough. Here our statistical information database by data mining is used for predicting protein secondary structure.

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