Exploratory and inferential analysis of gene cluster neighborhood graphs.

ABSTRACT:

Background

Many different cluster methods are frequently used in gene expression data analysis to find groups of co-expressed genes. However, cluster algorithms with the ability to visualize the resulting clusters are usually preferred. The visualization of gene clusters gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results.

Results

In this paper recent extensions of R package gcExplorer are presented. gcExplorer is an interactive visualization toolbox for the investigation of the overall cluster structure as well as single clusters. The different visualization options including arbitrary node and panel functions are described in detail. Finally the toolbox can be used to investigate the quality of a

SUBMITTER: Scharl T 

PROVIDER: S-EPMC2761902 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature