map_custom_celltypes: Map Custom Celltype Annotations from a DataFrame
In combiz/scFlow: A Single-Cell/Nuclei Analysis Toolkit
View source: R/map_custom_celltypes.R
map_custom_celltypes R Documentation
Map Custom Celltype Annotations from a DataFrame
Description
Map Custom Celltype Annotations from a DataFrame
Usage
map_custom_celltypes(sce, mappings, cols = NULL, clusters_colname = "clusters")
Arguments
sce
a SingleCellExperiment
mappings
a dataframe with a "cluster" column and additional columns with
celltype annotation data
cols
specifies the subset of columns to annotate with.
defaults to NULL or all columns
clusters_colname
the name of the colData column with cluster number
Value
sce a SingleCellExperiment object with custom annotations
See Also
Other clustering and dimensionality reduction:
.get_x_most_specific_genes(),
.map_celltypes(),
.map_celltypes_with_ewce(),
cluster_sce(),
reduce_dims_sce()
combiz/scFlow documentation built on Feb. 25, 2024, 10:25 a.m.
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View source: R/map_custom_celltypes.R
| map_custom_celltypes | R Documentation |
Map Custom Celltype Annotations from a DataFrame
Description
Map Custom Celltype Annotations from a DataFrame
Usage
map_custom_celltypes(sce, mappings, cols = NULL, clusters_colname = "clusters")
Arguments
sce |
a SingleCellExperiment |
mappings |
a dataframe with a "cluster" column and additional columns with celltype annotation data |
cols |
specifies the subset of columns to annotate with. defaults to NULL or all columns |
clusters_colname |
the name of the colData column with cluster number |
Value
sce a SingleCellExperiment object with custom annotations
See Also
Other clustering and dimensionality reduction:
.get_x_most_specific_genes(),
.map_celltypes(),
.map_celltypes_with_ewce(),
cluster_sce(),
reduce_dims_sce()
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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