Comments (1)
Also, I was thinking if exposing the standardize parameter for MultiCCA is probably a good idea since you can't standardize really large sparse matrices in that package due to memory errors. So anyone can load in already standardized matrices. I'll open a pull request.
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Related Issues (9)
- Clarification on choosing a reference and SCTransform. HOT 2
- ImportError: No module named tensorflow , when installing scAlign HOT 5
- Feature request: per batch l2-normalization at embedding generation for training on large datasets HOT 3
- Question about the loss? HOT 2
- scAlign_supervised_alignment example: "Error during alignment, returning scAlign class." HOT 1
- Error during interpolation, returning scAlign class. HOT 9
- Setting up differential expression with multiway alignment HOT 16
- tensorflow error HOT 3
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