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O-glycosylation is one of the main types of the mammalian protein glycosylation, it occurs on the particular site of serine and threonine. It's important to predict the O-glycosylation site. In this paper, we propose a new method of kernel principal component analysis (KPCA) to predict the O-glycosylation site with window size w=9. The samples for experiment are encoded by the sparse coding and projected...
When collecting network connection information, we can not obtain a complete data set at once, which result in SVM training insufficiently and high error rate of prediction. To solve this problem, this paper proposes a new method that combines support vector machine with clustering algorithm, based on analyzing the relation between boundary support vectors and KKT condition. In the method, firstly,...
O-glycosylation is one of the main types of the mammalian protein glycosylation, it occurs on the particular site of serine and threonine. In this paper, a new method of PCA-LDA is used for the prediction of O-glycosylation site under all kinds of window size (5,7,9,11,21,31,41,51). The new method of PCA-LDA is the combination of PCA and LDA, we also call it hybrid discriminate analysis (HDA). The...
Articulation errors will seriously reduce speech intelligibility and the ease of spoken communication. Typically, a language therapist uses his or her clinical experience to identify articulation error patterns, a time-consuming and expensive process. This paper presents a novel automatic approach to identifying articulation error patterns and providing error information of pronunciation to assist...
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