compute_umap: Compute UMAP coordinates for a target dataset.
In gillislab/MetaMarkers: Extract robust markers from multiple datasets
Description
Usage
Arguments
Value
Description
Compute UMAP coordinates for a target dataset.
Usage
1
compute_umap(expr)
Arguments
expr
Expression matrix (with genes as rows) of the target dataset in
sparse or dense format. We recommend providing log-normalized counts for
carefully selected highly variable genes.
Value
A tibble with one row per cell and 3 columns containing the sample
name, UMAP coordinate 1 and UMAP coordinate 2.
gillislab/MetaMarkers documentation built on April 24, 2021, 9:25 p.m.
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Description Usage Arguments Value
Description
Compute UMAP coordinates for a target dataset.
Usage
1 | compute_umap(expr)
|
Arguments
expr |
Expression matrix (with genes as rows) of the target dataset in sparse or dense format. We recommend providing log-normalized counts for carefully selected highly variable genes. |
Value
A tibble with one row per cell and 3 columns containing the sample name, UMAP coordinate 1 and UMAP coordinate 2.
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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