Hi, is there an example in the docs that I'm missing of using PCA to remove batch effects? If I understand correctly, I may be able to do this by using U, S, V = pca._fit(X) and then removing the first n_components. Is there a way to do this so I can then use inverse_transform to get the data in the original projection with batch effects removed? thanks for any pointers. -Brent
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