Comments (1)
The underlying model uses cosine similarity between feature vectors to define similar cells. If that is not appropriate for with SCtransform, then it should not be used, but otherwise it should be fine. Just make sure to disable TooManyCells normalizations / filtering if you are already providing that.
from too-many-cells.
Related Issues (20)
- kent-394 not supported HOT 9
- Running a million cells failed in the docker HOT 2
- Purity section in too-many-cells HOT 4
- error, called at src/Data/Sparse/SpMatrix.hs:793:22 in sparse-linear-algebra-0.3.2-LJ5QWDyWqk8g1L9MLmVBX:Data.Sparse.SpMatrix HOT 5
- comparative analysis of clustering performance HOT 2
- comparative analysis of clustering performance #37 HOT 3
- can't install the included projects HOT 13
- Error when installing with nix on CentOS 7 HOT 4
- Strange warnings occurred during the procedure HOT 3
- A problem for batch effect removed data HOT 11
- fail when downloading ucsc browser HOT 2
- The pipeline crashed with error message HOT 3
- Index out of bounds for TooManyPeaks HOT 7
- Prune parameters setting question HOT 1
- Question: Does well separated color in the dendrogram mean that the items are distinct? HOT 1
- Installation fails with nix-env ('__noChroot' set, but that's not allowed when 'sandbox' is 'true') HOT 7
- How to modify the colors of the PieChart HOT 1
- Expected runtime HOT 1
- Is matrixValidity printing row and column wrong? HOT 17
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from too-many-cells.