Institute of Bioinformatics, Johannes Kepler University, Linz, Austria.
Bioinformatics. 2011 Sep 1;27(17):2463-4. doi: 10.1093/bioinformatics/btr406. Epub 2011 Jul 6.
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.
The R package apcluster is available via CRAN-The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/apcluster
最近，亲和传播（AP）聚类在生物信息学中越来越受欢迎。AP 聚类的优点是它允许确定典型的聚类成员，即所谓的范例。我们提供了这个有前途的新聚类技术的 R 实现，以考虑到 R 在生物信息学中的普遍性。本文介绍了该软件包，并展示了一个来自结构生物学的应用。
R 包 apcluster 可通过 CRAN-The Comprehensive R Archive Network 获得：http://cran.r-project.org/web/packages/apcluster
