UMAP is often used for visualization by reducing data to 2-dimensions. Since this is such a common use case the umap package now includes utility routines to make plotting UMAP results simple, and …

Jan 20, 2023 · What is a UMAP plot and how to interpret it in single-cell data analysis. Learn the significance of UMAP in visualizing and understanding datasets.

Jul 3, 2024 · Developed by Leland McInnes, John Healy, and James Melville, UMAP is built on solid mathematical foundations, including Riemannian geometry and algebraic topology. This article …

What is a UMAP? This is a special type of graph, called a Uniform Manifold Approximation and Projection (UMAP). UMAPs are helpful ways of displaying many types of data and are often referred …

In summary, UMAP is a dimensionality reduction algorithm which allows us to visualise high-dimensional data in a 2D plot. It does it by modelling each high-dimensional object by a two- or three-dimensional …

UMAP is a new dimensionality reduction technique that offers increased speed and better preservation of global structure.

Aug 10, 2025 · This guide will show you not only how to create beautiful UMAP plots in R with ggplot2, but also how to interpret them to uncover meaningful insights in your data.

Apr 8, 2026 · The plotting package offers basic plots, as well as interactive plots with hover tools and various diagnostic plotting options. See the documentation for more details.

Nov 4, 2025 · By reducing thousands of gene expression measurements to a 2D plot, UMAP reveals distinct cell populations and their relationships that would be impossible to see in the raw data.

Final thought: Dimensionality reduction is like a sketch—it simplifies reality. But you are the one who gives it meaning. That UMAP plot? It’s not your conclusion. It’s your starting point. Now go question …