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In this paper, a novel approach is presented to solve the problems of dynamic data mining(DM) such as low effectiveness, high randomness and hard implementation. With the extension of the concept data mining process, the evolutionary and immune characteristics in dynamic mining are first illustrated respectively, based on the facts of the relationship between data mining tasks and the global optimization...
In this paper, we propose a compound pyramid model to predict protein secondary structure, where homology analysis and an improved support vector machine (SVM) technology are used for predicting protein secondary structure. The homology analysis is based on BP network model which uses pair-wise sequence alignment, and SVM classification considers the physical and chemical properties of amino acids...
Protein secondary structure prediction plays an important role in protein engineering. But its accuracy has not been improved dramatically in recent years and many methods rely on servers to get first data. So an independent homology analysis method is proposed. Besides, this method is successfully applied to the homology analysis module located at comprehensive layer in our compound pyramid model...
In this paper, we propose a method of homology analysis for predicting protein secondary structure. The BP network model is based on pair-wise sequence alignment, and the accuracy of the prediction is improved. In the modeling stage, we use penalty function in the pair-wise sequence alignment and the result of alignment is put into the training set of the BP network. Considering the information of...
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