R Console Plugin for Kaluza Analysis
Kaluza R Console Plugin
The R Console plugin adds advanced functionality to Analysis Software, enabling the analysis of flow cytometry data in R within the Kaluza Analysis framework. The open source programming language R is widely used to build tools that allow data visualization and analysis in innovative and highly specialized ways.
The R Console plugin allows you to:
- Perform pre-gating in Kaluza and prepare your data for further analysis
- Create scripts and functions directly in Kaluza
- Batch analyze all data sets
16-color immunophenotyping data was pre-gated by doublet exclusion and identification of viable lymphocytes. A t-SNE (t-distributed stochastic neighbor embedding) algorithm was applied to the data using the Kaluza R Console plugin and a new fcs file with embedded t-SNE calculated Parameters was generated. Populations in the t-SNE plot were identified by backgating and CD56++ visualized as rare events in Kaluza Analysis.
The FlowSOM algorithm was used for hierarchical cluster analysis of an exemplary data set using the R Console plugin. The resulting self-organizing map is shown as star chart.