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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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Detalles Bibliográficos
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
Descripción
Sumario: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.