Obtain a density estimation derived from the original manifold, avoiding the lossiness of lower dimensional embeddings
A list of 2, where the first is a matrix of nn indices, and the second is a matrix of nn distances
a vector where each element is the KNN-DE for that given cell, ordered by row number, in the original input matrix of cells x features
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