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A novel method of feature extraction form protein sequences, structures and physicochemical properties has been proposed and obtained a better classification results by the key eigenvector obtained form knowledge reduction combined with the algorithm of support vector machine. Based on Jackknife detecting methods, the comprehensive classification results 78.3% and 90.9% for all-??, all-??, ??+?? and...
In this paper, we examine the problem of classifying protein fold structure without sequence similarity, by using classification techniques. The representation of the problem in an attribute-based manner allows the application of many well established machine learning algorithms. We study the performance of several algorithms such as decision trees, Naive Bayes, instance-based, and generalized exemplar...
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