Comments (2)
Unfortunately, I don't know anything about seurat, so I don't know what the seurat@reductions$umap
object is. Is it the output coordinates of running UMAP on your RNA data (presumably a 2D matrix)? If so, that's not enough information for umap_transform
. You need the object returned from running uwot::umap(ret_model = TRUE)
. But I don't think mixing low-level uwot functions with higher-level seurat data is a good way forward, when clearly neither of us know much about how seurat's internals interact with uwot.
I wish I could be more helpful but I would recommend going to the seurat repo and asking how to transform new data. A similar error message was reported at satijalab/seurat#7378 -- maybe following the responses there can help?
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Related Issues (20)
- Test failure an arm64, ppc64el and s390x HOT 8
- Add general_simplicial_set_intersection to the uwot API HOT 3
- umap_transform causes R Studio to abort (R encountered a fatal error.) HOT 4
- umap_transform can give odd results with dens_scale HOT 17
- umap transform fuzzy graph HOT 3
- Citing {uwot} HOT 1
- Weird looking UMAP for spectral flow data HOT 3
- What C++ version should CXX_STD have? HOT 16
- devtools can no longer build uwot on Windows HOT 5
- I can not load the saved model, an example from the help HOT 9
- Reproducibility issue with the same data and OS HOT 17
- dgCMatrix_colSums' not found error when using a binary matrix HOT 2
- irlba as_cholmod_sparse problems HOT 1
- maybe unintended data use in examples HOT 2
- umap_transform uses a different distance metric if loaded in HOT 5
- `fuzzy_simplicial_set()` for BBKNN HOT 5
- Differences in model parameters when calling umap() causes umap_transform() to error HOT 3
- How to input similarity_graph back into umap parameters? HOT 3
- Range scale input before optimization HOT 2
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