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Create a vector called factorization.genes that includes the top 1000 most variable genes.
Comment : The top variable genes were already identified during the normalization step with SCTransform() and we can get those by running Variablefeatures(se.HER2).
From the docs for Variablefeatures it is not clear (to me at least) that this object is sorted so that the most variable genes are first. I guess they are as this is assumed in the solution. Anyway could anyone confirm that they are infact sorted? If so, we should state this in the question to it is clear.