create_object.Seurat: Extract information from Seurat object to create CNA object
In korsunskylab/rcna: Covarying Neighborhood Analysis
create_object.Seurat R Documentation
Extract information from Seurat object to create CNA object
Description
Extract information from Seurat object to create CNA object
Usage
create_object.Seurat(
seurat_object,
samplem_key,
samplem_vars,
graph_use = NULL
)
Arguments
seurat_object
Initialized Seurat object. Assumes that FindNeighborhoods has been run.
samplem_key
String denoting the name of the sample-level identifier (e.g. DonorID).
samplem_vars
Which sample-level covariates to include.
graph_use
Which graph to use. By default, will use first graph in seurat_object.
korsunskylab/rcna documentation built on Aug. 27, 2023, 4:40 a.m.
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| create_object.Seurat | R Documentation |
Extract information from Seurat object to create CNA object
Description
Extract information from Seurat object to create CNA object
Usage
create_object.Seurat(
seurat_object,
samplem_key,
samplem_vars,
graph_use = NULL
)
Arguments
seurat_object |
Initialized Seurat object. Assumes that FindNeighborhoods has been run. |
samplem_key |
String denoting the name of the sample-level identifier (e.g. DonorID). |
samplem_vars |
Which sample-level covariates to include. |
graph_use |
Which graph to use. By default, will use first graph in seurat_object. |
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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