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SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation

BACKGROUND: Technological developments in the emerging field of spatial transcriptomics have opened up an unexplored landscape where transcript information is put in a spatial context. Clustering commonly constitutes a central component in analyzing this type of data. However, deciding on the number...

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Autores principales: Bergenstråhle, Joseph, Bergenstråhle, Ludvig, Lundeberg, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191678/
https://www.ncbi.nlm.nih.gov/pubmed/32349652
http://dx.doi.org/10.1186/s12859-020-3489-7
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author Bergenstråhle, Joseph
Bergenstråhle, Ludvig
Lundeberg, Joakim
author_facet Bergenstråhle, Joseph
Bergenstråhle, Ludvig
Lundeberg, Joakim
author_sort Bergenstråhle, Joseph
collection PubMed
description BACKGROUND: Technological developments in the emerging field of spatial transcriptomics have opened up an unexplored landscape where transcript information is put in a spatial context. Clustering commonly constitutes a central component in analyzing this type of data. However, deciding on the number of clusters to use and interpreting their relationships can be difficult. RESULTS: We introduce SpatialCPie, an R package designed to facilitate cluster evaluation for spatial transcriptomics data. SpatialCPie clusters the data at multiple resolutions. The results are visualized with pie charts that indicate the similarity between spatial regions and clusters and a cluster graph that shows the relationships between clusters at different resolutions. We demonstrate SpatialCPie on several publicly available datasets. CONCLUSIONS: SpatialCPie provides intuitive visualizations of cluster relationships when dealing with Spatial Transcriptomics data.
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spelling pubmed-71916782020-05-04 SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation Bergenstråhle, Joseph Bergenstråhle, Ludvig Lundeberg, Joakim BMC Bioinformatics Software BACKGROUND: Technological developments in the emerging field of spatial transcriptomics have opened up an unexplored landscape where transcript information is put in a spatial context. Clustering commonly constitutes a central component in analyzing this type of data. However, deciding on the number of clusters to use and interpreting their relationships can be difficult. RESULTS: We introduce SpatialCPie, an R package designed to facilitate cluster evaluation for spatial transcriptomics data. SpatialCPie clusters the data at multiple resolutions. The results are visualized with pie charts that indicate the similarity between spatial regions and clusters and a cluster graph that shows the relationships between clusters at different resolutions. We demonstrate SpatialCPie on several publicly available datasets. CONCLUSIONS: SpatialCPie provides intuitive visualizations of cluster relationships when dealing with Spatial Transcriptomics data. BioMed Central 2020-04-29 /pmc/articles/PMC7191678/ /pubmed/32349652 http://dx.doi.org/10.1186/s12859-020-3489-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Bergenstråhle, Joseph
Bergenstråhle, Ludvig
Lundeberg, Joakim
SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation
title SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation
title_full SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation
title_fullStr SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation
title_full_unstemmed SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation
title_short SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation
title_sort spatialcpie: an r/bioconductor package for spatial transcriptomics cluster evaluation
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191678/
https://www.ncbi.nlm.nih.gov/pubmed/32349652
http://dx.doi.org/10.1186/s12859-020-3489-7
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