dataSClust: Generate cell clusters using Seurat graph based clustering.
In linquynus/RCAv2-beta: Reference Component Analysis
Description
Usage
Arguments
Value
Description
Generate cell clusters using Seurat graph based clustering.
Usage
1
dataSClust(rca.obj, res = 0.5)
Arguments
rca.obj
RCA object.
res
Resolution parameter (between 0.0 and 1.0) to be used for clustering. Default: 0.5. Check the Seurat documentation for details.
Value
RCA object.
linquynus/RCAv2-beta documentation built on Aug. 9, 2020, 12:34 a.m.
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Description Usage Arguments Value
Description
Generate cell clusters using Seurat graph based clustering.
Usage
1 | dataSClust(rca.obj, res = 0.5)
|
Arguments
rca.obj |
RCA object. |
res |
Resolution parameter (between 0.0 and 1.0) to be used for clustering. Default: 0.5. Check the Seurat documentation for details. |
Value
RCA 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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