Identification of CD4+ T cell subsets using FlowSOM and UMAP
Corresponding Organization : Weizmann Institute of Science
Other organizations : Hebrew University of Jerusalem, Broad Institute, Harvard University, Brigham and Women's Hospital
Variable analysis
- Flow cytometry-based clustering (FlowSOM) with k-nearest neighbor (k-NN) algorithm
- UMAP projections
- Identification and annotation of CD4+ T effector memory (TEM) cell populations
- CD4+ T cell gating using FlowJo
- Combined dataset used for FlowSOM-based k-NN clustering to enable identification of small populations
Annotations
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