蛋白质序列聚类的新方法

2015 26th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2015-09-01 DOI:10.1109/DEXA.2015.28

F. Mhamdi, Achref Ouerfelli

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引用次数: 1

摘要

聚类或无监督分类是生物信息学中的一个重要问题，用于自动将蛋白质序列分组成科。在本文中，我们解释了我们的方法的过程。在第一部分中，我们介绍了提取阶段和特征加权以及特征选择。然后解释了新的距离方程，最后描述了聚类方法:k-介质。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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New Clustering Approach for Protein Sequences

Clustering, or unsupervised classification, is an important problem in bioinformatics which serves to automatically group protein sequences into families. In this paper we explain the process of our approach. In the first part, we present extraction phase and features weighting subsequently features selecting. Then we explain our new distance equation and finally we describe the clustering method: k-medoids.

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2015 26th International Workshop on Database and Expert Systems Applications (DEXA)

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