• This record comes from PubMed

ShinySOM: graphical SOM-based analysis of single-cell cytometry data

. 2020 May 01 ; 36 (10) : 3288-3289.

Language English Country England, Great Britain Media print

Document type Journal Article, Research Support, Non-U.S. Gov't

SUMMARY: ShinySOM offers a user-friendly interface for reproducible, high-throughput analysis of high-dimensional flow and mass cytometry data guided by self-organizing maps. The software implements a FlowSOM-style workflow, with improvements in performance, visualizations and data dissection possibilities. The outputs of the analysis include precise statistical information about the dissected samples, and R-compatible metadata useful for the batch processing of large sample volumes. AVAILABILITY AND IMPLEMENTATION: ShinySOM is free and open-source, available online at gitlab.com/exaexa/ShinySOM. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

See more in PubMed

Chevrier S. et al. (2018) Compensation of signal spillover in suspension and imaging mass cytometry. Cell Syst., 6, 612–620.e5. PubMed PMC

Fišer K. et al. (2012) Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry data. Cytometry A, 81, 25–34. PubMed

Kratochvíl M. et al. (2019) Generalized EmbedSOM on quadtree-structured self-organizing maps. F1000Res., 8, 2120. PubMed PMC

Monaco G. et al. (2016) flowAI: automatic and interactive anomaly discerning tools for flow cytometry data. Bioinformatics, 32, 2473–2480. PubMed

Sieger T. et al. (2017) Interactive dendrograms: the R packages idendro and idendr0. J. Stat. Softw., 76, 1–22.

van Gassen S. et al. (2015) FlowSOM: using self-organizing maps for visualization and interpretation of cytometry data. Cytometry A, 87, 636–645. PubMed

Weber L.M., Robinson M.D. (2016) Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data. Cytometry A, 89, 1084–1096. PubMed

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...