RNA二级结构预测方法可以分为基于热力学的预测方法和基于系统发生学的预测方法两大类。
The methods for RNA secondary structure prediction can be divided into two categories which are the methods based on thermodynamics and phylogenetics.
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.
用电子计算机方法可以预测球形蛋白质二级结构。
A computerized method is made to predict the secondary structure of globular proteins.
论文的另一个研究主题是蛋白质二级结构的预测方法。
Another research subject is the prediction of protein secondary structure.
文章提出一种基于迭代法预测带伪结rna二级结构的新方法。
Here we present a new method for predicting RNA secondary structures including pseudoknots through iteration.
表明： 基于氨基酸组成和有偏自协方差函数为特征矢量的BP神经网络预测蛋白质二级结构含量的方法可有效提高预测精度。
It is shown that the BP neural network method combined with the amino-acid composition and the biased auto-covariance function features could effectively improve the prediction accuracy.
摘要：介绍了构造性机器学习方法——覆盖算法在蛋白质二级结构预测中的应用。
Absrtact: Mainly introduces protein secondary structure prediction based on structural machine learning-covering algorithm.
摘要：介绍了构造性机器学习方法——覆盖算法在蛋白质二级结构预测中的应用。
Absrtact: Mainly introduces protein secondary structure prediction based on structural machine learning-covering algorithm.
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