UMAP (Uniform Manifold Approximation and Projection) is a popular dimensionality reduction technique in machine learning and data science that is widely used for data visualization and clustering. It ...

A web application built with Shiny for Python that allows users to create UMAP visualizations from a .h5ad file inside a .zip folder. User uploads a .zip file that contains a .h5ad file. The ...

#ICYMI Glass Box UMAP transforms UMAP into an interpretable embedding workflow by decomposing each point's coordinates into exact contributions from the original input features, letting users identify ...

I created a python script using PCA (2D and 3D), t-SNE, and UMAP classifiers. Overview of t-SNE and UMAP: t-SNE (t-distributed Stochastic Neighbor Embedding): This technique is designed to visualize ...