聚类技术正越来越多地被用于分析高通量生物数据集。分析序列、基因和蛋白质表达、路径和图像等形式的高通量数据的新型计算技术对理解疾病和未来的药物发现变得至关重要。

本书详细介绍了聚类分析的完整途径，从分子生物学的基础知识到生物知识的生成。本书还介绍了最新的聚类方法和聚类验证，从而为读者提供了生物信息学中聚类分析从基础知识到最先进技术和应用的全面回顾。

Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery.

This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications.