APCluster: an R package for affinity propagation clustering
U Bodenhofer, A Kothmeier, S Hochreiter - Bioinformatics, 2011 - academic.oup.com
U Bodenhofer, A Kothmeier, S Hochreiter
Bioinformatics, 2011•academic.oup.comAffinity 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 …
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 …
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
Oxford University Press