Cluster Explorer Help
Intended Workflow
Synopsis
Cluster Explorer is intended to be used in the exploration of populations identified through cluster analysis (deterministic) as rendered
by a dimensionality reduction algorithm such as t-SNE or UMAP (stochastic). A typical use case would be to identify clustered populations to use as training sets for the companion plugin HyperFinder, available on FlowJo Exchange.
HyperFinder creates optimized gates utilizing the measurements available on a cell sorter to sort populations that may be defined through the use of derived parameters such as cluster IDs and/or locations on a dimensionality reduction map not available
to a sorter for real-time classification.
Using Cluster Explorer
Cleaning up Clusters
- Gating in FlowJo
- Removing Outliers