CARGO: A cytometry analysis framework via Regularized graph optimal-transport (opens in new tab)
Author summary Understanding the immune system requires analyzing millions of cells, each carrying unique biological signals. Traditional visualization tools, like scatter plots or popular algorithms such as t-SNE and UMAP, help simplify this complexity but often distort important relationships between cell types. In this work, we introduce a new way to visualize flow cytometry data that is both mathematically rigorous and easy to interpret. Our method uses a concept called “optimal transport...
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