Publication at Faculty of Mathematics and Physics, Central Library of Charles University, Second Faculty of Medicine |
2020
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 batch processing of large sample volumes.