| Literature DB >> 21737437 |
Ulrich Bodenhofer1, Andreas Kothmeier, Sepp Hochreiter.
Abstract
SUMMARY: Affinity propagation (AP) clustering has recently gained increasing popularity in bioinformatics. AP clustering has the advantage that it allows for determining typical cluster members, the so-called exemplars. We provide an R implementation of this promising new clustering technique to account for the ubiquity of R in bioinformatics. This article introduces the package and presents an application from structural biology. AVAILABILITY: The R package apcluster is available via CRAN-The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/apcluster CONTACT: apcluster@bioinf.jku.at; bodenhofer@bioinf.jku.at.Mesh:
Year: 2011 PMID: 21737437 DOI: 10.1093/bioinformatics/btr406
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937