run_umap: Run UMAP
In jmonlong/scCNAutils: Functions to analyze copy number aberrations in single-cell data
run_umap R Documentation
Run UMAP
Description
UMAP on the PCA results.
Usage
run_umap(pca_o, nb_pcs = 10, nb_neighbors = 5)
Arguments
pca_o
the output of run_pca
nb_pcs
the number of PCs to use. Default 10.
nb_neighbors
the number of neighbors. Default 5.
Details
This functions depends on Python and UMAP being installed. Make sure umap-mearn,
sklearn, numpy, scipy and pandas are installed. For example with something like:
'pip install sklearn numpy scipy pandas umap-learn'.
Value
a data.frame with columns: cell, umap1, umap2
Author(s)
Jean Monlong
jmonlong/scCNAutils documentation built on May 3, 2022, 4:34 a.m.
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| run_umap | R Documentation |
Run UMAP
Description
UMAP on the PCA results.
Usage
run_umap(pca_o, nb_pcs = 10, nb_neighbors = 5)
Arguments
pca_o |
the output of |
nb_pcs |
the number of PCs to use. Default 10. |
nb_neighbors |
the number of neighbors. Default 5. |
Details
This functions depends on Python and UMAP being installed. Make sure umap-mearn, sklearn, numpy, scipy and pandas are installed. For example with something like: 'pip install sklearn numpy scipy pandas umap-learn'.
Value
a data.frame with columns: cell, umap1, umap2
Author(s)
Jean Monlong
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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