Support vector machines for the classifi
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Dr Yu-Dong Cai; Xiao-Jun Liu; Xue-biao Xu; Kuo-Chen Chou
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Article
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2002
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John Wiley and Sons
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English
⚖ 73 KB
## Abstract The support vector machines (SVMs) method is proposed because it can reflect the sequence‐coupling effect for a tetrapeptide in not only a β‐turn or non‐β‐turn, but also in different types of β‐turn. The results of the model for 6022 tetrapeptides indicate that the rates of self‐consist