Journal Article

gcExplorer: interactive exploration of gene clusters

Theresa Scharl and Friedrich Leisch

in Bioinformatics

Volume 25, issue 8, pages 1089-1090
Published in print April 2009 | ISSN: 1367-4803
Published online February 2009 | e-ISSN: 1460-2059 | DOI:
gcExplorer: interactive exploration of gene clusters

More Like This

Show all results sharing this subject:

  • Bioinformatics and Computational Biology


Show Summary Details


Summary: Cluster analysis plays an important role in the analysis of gene expression data since the early beginning of microarray studies and is routinely used to find groups of genes with common expression pattern. In order to make cluster analysis helpful for users, visualization of cluster solutions is of utmost importance. Here, we present the new R package gcExplorer for the interactive exploration of gene clusters. gcExplorer facilitates the interpretation of cluster results and allows to investigate extensive information about clusters.

Availability: The latest release of gcExplorer is always available at the Comprehensive R Archive Network CRAN: See the README file in the package for detailed installation instructions.


Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1126 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.