run_umap_shiny

umap

<p>Open a shiny app to explore the data in a UMAP embedding.</p>

Wraps the Python implementation of the UMAP dimension reductionality algorithm to use in `R`. Uniform Manifold Approximation and Projection (UMAP) is a non-linear dimensionality reduction algorithm that is computationally more efficient than t-SNE (McInnes and Healy, 2018) <https://arxiv.org/abs/1802.03426>. This package allows the user to run UMAP from R, producing a data frame that can be plotted on a 2-D graph.

Sean Hughes

umapr

Wraps UMAP Algorithm for Dimension Reduction

Ted Laderas

Malisa Smith

Ju Yeong Kim

Angela Li

run_umap_shiny function

Open a shiny app to explore the data in a UMAP embedding. — run_umap_shiny

Open a shiny app to explore the data in a UMAP embedding.

run_umap_shiny: Open a shiny app to explore the data in a UMAP embedding.

Description

Usage

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