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

On 2020-06-29 15:15:00 at G205, Karlovo náměstí 13, Praha 2
Presentation of the publication entitled "ShinySOM: graphical SOM-based
analysis
of single-cell cytometry data".
https://academic.oup.com/bioinformatics/article/36/10/3288/5734646

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.
Responsible person: Petr Pošík