clustComp, a bioconductor package for the comparison of clustering results

SUMMARY: clustComp is an open source Bioconductor package that implements different techniques for the comparison of two gene expression clustering results. These include flat versus flat and hierarchical versus flat comparisons. The visualization of the similarities is provided by means of a bipart...

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Detalles Bibliográficos
Autores principales: Torrente, Aurora, Brazma, Alvis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860092/
https://www.ncbi.nlm.nih.gov/pubmed/28961761
http://dx.doi.org/10.1093/bioinformatics/btx532
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author Torrente, Aurora
Brazma, Alvis
author_facet Torrente, Aurora
Brazma, Alvis
author_sort Torrente, Aurora
collection PubMed
description SUMMARY: clustComp is an open source Bioconductor package that implements different techniques for the comparison of two gene expression clustering results. These include flat versus flat and hierarchical versus flat comparisons. The visualization of the similarities is provided by means of a bipartite graph, whose layout is heuristically optimized. Its flexibility allows a suitable visualization for both small and large datasets. AVAILABILITY AND IMPLEMENTATION: The package is available at http://bioconductor.org/packages/clustComp/ and contains a ‘vignette’ outlying the typical use of the algorithms. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58600922018-03-23 clustComp, a bioconductor package for the comparison of clustering results Torrente, Aurora Brazma, Alvis Bioinformatics Applications Notes SUMMARY: clustComp is an open source Bioconductor package that implements different techniques for the comparison of two gene expression clustering results. These include flat versus flat and hierarchical versus flat comparisons. The visualization of the similarities is provided by means of a bipartite graph, whose layout is heuristically optimized. Its flexibility allows a suitable visualization for both small and large datasets. AVAILABILITY AND IMPLEMENTATION: The package is available at http://bioconductor.org/packages/clustComp/ and contains a ‘vignette’ outlying the typical use of the algorithms. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-12-15 2017-08-23 /pmc/articles/PMC5860092/ /pubmed/28961761 http://dx.doi.org/10.1093/bioinformatics/btx532 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Torrente, Aurora
Brazma, Alvis
clustComp, a bioconductor package for the comparison of clustering results
title clustComp, a bioconductor package for the comparison of clustering results
title_full clustComp, a bioconductor package for the comparison of clustering results
title_fullStr clustComp, a bioconductor package for the comparison of clustering results
title_full_unstemmed clustComp, a bioconductor package for the comparison of clustering results
title_short clustComp, a bioconductor package for the comparison of clustering results
title_sort clustcomp, a bioconductor package for the comparison of clustering results
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860092/
https://www.ncbi.nlm.nih.gov/pubmed/28961761
http://dx.doi.org/10.1093/bioinformatics/btx532
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