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Uniform Manifold Approximation and Projection (UMAP) and related manifold embedding techniques generate nonlinear projections of high‐dimensional data onto low‐dimensional subspaces. However, due to the nonlinearity of these methods, there is no analogous transformation matrix (i.e., the loadings or eigenvectors) that allows one to see the corresponding relationship between each sample location and...
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