A robust approach based on Weibull distribution for clustering gene expression data.

ABSTRACT:

Background

Clustering is a widely used technique for analysis of gene expression data. Most clustering methods group genes based on the distances, while few methods group genes according to the similarities of the distributions of the gene expression levels. Furthermore, as the biological annotation resources accumulated, an increasing number of genes have been annotated into functional categories. As a result, evaluating the performance of clustering methods in terms of the functional consistency of the resulting clusters is of great interest.

Results

In this paper, we proposed the WDCM (Weibull Distribution-based Clustering Method), a robust approach for clustering gene expression data, in which the gene expressions of individual genes are considered as the random variable

SUBMITTER: Wang H 

PROVIDER: S-EPMC3118357 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature