Journal article

An effective non-parametric method for globally clustering genes from expression profiles.

Jingyu Hou, Wei Shi, Gang Li, Wanlei Zhou

Med Biol Eng Comput | Published : 2007

Abstract

Clustering is widely used in bioinformatics to find gene correlation patterns. Although many algorithms have been proposed, these are usually confronted with difficulties in meeting the requirements of both automation and high quality. In this paper, we propose a novel algorithm for clustering genes from their expression profiles. The unique features of the proposed algorithm are twofold: it takes into consideration global, rather than local, gene correlation information in clustering processes; and it incorporates clustering quality measurement into the clustering processes to implement non-parametric, automatic and global optimal gene clustering. The evaluation on simulated and real gene d..

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University of Melbourne Researchers