Analyzing high-dimensional cytometry data using FlowSOM | Nature Protocols
Introduction to FlowSOM in Cytobank – Cytobank
FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data - Van Gassen - 2015 - Cytometry Part A - Wiley Online Library
Unsupervised clustering of BAL cells identifies immune populations (A)... | Download Scientific Diagram
Analyzing high-dimensional cytometry data using FlowSOM | Nature Protocols
Visualization of FlowSOM and diffcyt results obtained through... | Download Scientific Diagram
Analyzing high-dimensional cytometry data using FlowSOM | Nature Protocols
Top left: FlowSOM tree for the B cell subset panel 2 with expressed... | Download Scientific Diagram
INFLECT: an R-package for cytometry cluster evaluation using marker modality | BMC Bioinformatics | Full Text
Analysis and Interpretation of FlowSOM Results – Cytobank
FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data - Van Gassen - 2015 - Cytometry Part A - Wiley Online Library
R Graphical Manual
FlowSOM, SPADE, and CITRUS on dimensionality reduction: automatically categorize dimensionality reduction populations – Cytobank
Analyzing high-dimensional cytometry data using FlowSOM | Nature Protocols
Analysis and Interpretation of FlowSOM Results – Cytobank