聚类分析
计算机科学
计算生物学
数据挖掘
人工智能
机器学习
生物
作者
Evgenia V. Kriventseva
出处
期刊:Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics
日期:2005-04-15
被引量:3
标识
DOI:10.1002/047001153x.g306408
摘要
Abstract In the past few years, the technology of sequencing has developed to the stage at which the sequencing of a complete genome can be contemplated as a practical and routine possibility. To cope with the exponentially growing data, methodologies for computational classification of biological sequences are required. Recently, several approaches for automatic functional classification of proteins were developed. This review describes the most widely applied clustering algorithms in Bioinformatics and resources developed for protein classification.
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