Let say I have e.g. a matrix where I have individuals (cells e.g.) as rows and features as columns, and then run a UMAP on both the ordinary matrix, and the transposed one. Then it would be natural to want to look at the individual UMAP with the default usage (the distances to other individuals), but it would also be interesting to see the features for that individual (and vice versa).
Is it clear what I mean?