APCluster: an R package for affinity propagation clustering

Ulrich Bodenhofer; Andreas Kothmeier; Sepp Hochreiter

doi:10.1093/bioinformatics/btr406

APCluster: an R package for affinity propagation clustering

Ulrich Bodenhofer, Andreas Kothmeier, Sepp Hochreiter

Institute for Machine Learning

Research output: Contribution to journal › Article › peer-review

Abstract

Affinity propagation (AP) clustering has recently gained increasing popularity in bioinformatics. AP clustering has the advantage that it allows for determining typical cluster members, so-called exemplars. We provide an R implementation of this promising new clustering technique to account for the ubiquity of R in bioinformatics. This paper introduces the package and presents an application from structural biology.

Original language	English
Article number	btr406
Pages (from-to)	2463-2464
Number of pages	2
Journal	Bioinformatics
Volume	27
Issue number	17
DOIs	https://doi.org/10.1093/bioinformatics/btr406
Publication status	Published - Jul 2011

Fields of science

106013 Genetics
106041 Structural biology
102 Computer Sciences
101029 Mathematical statistics
102001 Artificial intelligence
101004 Biomathematics
102015 Information systems
102018 Artificial neural networks
106002 Biochemistry
106023 Molecular biology
305 Other Human Medicine, Health Sciences
106005 Bioinformatics

JKU Focus areas

Computation in Informatics and Mathematics
Nano-, Bio- and Polymer-Systems: From Structure to Function

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Cite this

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title = "APCluster: an R package for affinity propagation clustering",

abstract = "Affinity propagation (AP) clustering has recently gained increasing popularity in bioinformatics. AP clustering has the advantage that it allows for determining typical cluster members, so-called exemplars. We provide an R implementation of this promising new clustering technique to account for the ubiquity of R in bioinformatics. This paper introduces the package and presents an application from structural biology.",

author = "Ulrich Bodenhofer and Andreas Kothmeier and Sepp Hochreiter",

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AU - Bodenhofer, Ulrich

AU - Kothmeier, Andreas

AU - Hochreiter, Sepp

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AB - Affinity propagation (AP) clustering has recently gained increasing popularity in bioinformatics. AP clustering has the advantage that it allows for determining typical cluster members, so-called exemplars. We provide an R implementation of this promising new clustering technique to account for the ubiquity of R in bioinformatics. This paper introduces the package and presents an application from structural biology.

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U2 - 10.1093/bioinformatics/btr406

DO - 10.1093/bioinformatics/btr406

M3 - Article

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JO - Bioinformatics

JF - Bioinformatics

IS - 17

M1 - btr406

ER -

APCluster: an R package for affinity propagation clustering

Abstract

Fields of science

JKU Focus areas

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