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 …

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 …

The graphic below explains in detail how scientists gather transcriptomic data and represent it via a UMAP. Now that we know what UMAPs represent, we can discuss how they are constructed.

We can plot a number of the images to get an idea of what we are looking at. This just involves matplotlib building a grid of axes and then looping through them plotting an image into each …

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.

Uncover patterns in high-dimensional data using UMAP. This guide covers its principles, advantages, and practical coding steps for visual analysis.

Sep 9, 2024 · Learn how UMAP (Uniform Manifold Approximation and Projection) works and how to interpret UMAP plots.

Mar 13, 2025 · Learn step-by-step instructions for applying Uniform Manifold Approximation and Projection (UMAP) to perform effective data analysis and uncover hidden patterns within …

Detailed examples of t-SNE and UMAP projections including changing color, size, log axes, and more in Python.