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

Kratochvíl, Miroslav; Bednárek, David; Sieger, Tomáš; Fišer, Karel; Vondrášek, Jiří · Bioinformatics · 2020

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Abstract

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. ShinySOM is free and open-source, available online at gitlab.com/exaexa/ShinySOM. Supplementary data are available at Bioinformatics online.

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