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

^*Corresponding author for this work

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

362 Citations (Scopus)

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: [email protected]; [email protected].

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 - Sept 2011
Externally published	Yes

Keywords

Algorithms
Amino Acid Motifs
Cluster Analysis
Computational Biology/methods
Sequence Analysis, Protein
Software

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10.1093/bioinformatics/btr406

Cite this

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title = "Apcluster: An R package for affinity propagation clustering",

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/apclusterCONTACT: [email protected]; [email protected].",

keywords = "Algorithms, Amino Acid Motifs, Cluster Analysis, Computational Biology/methods, Sequence Analysis, Protein, Software",

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

year = "2011",

month = sep,

doi = "10.1093/bioinformatics/btr406",

language = "English",

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AU - Bodenhofer, Ulrich

AU - Kothmeier, Andreas

AU - Hochreiter, Sepp

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Y1 - 2011/9

N2 - 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/apclusterCONTACT: [email protected]; [email protected].

AB - 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/apclusterCONTACT: [email protected]; [email protected].

KW - Algorithms

KW - Amino Acid Motifs

KW - Cluster Analysis

KW - Computational Biology/methods

KW - Sequence Analysis, Protein

KW - Software

UR - https://www.scopus.com/pages/publications/80051932807

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AN - SCOPUS:80051932807

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SP - 2463

EP - 2464

JO - Bioinformatics

JF - Bioinformatics

IS - 17

M1 - btr406

ER -

Apcluster: An R package for affinity propagation clustering

Abstract

Keywords

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