find_clusters: Iterative Louvain clustering across multiple resolutions
In ZacharyDeBruine/WGCCNA: Weighted Gene Coexpression Correlation Network Analysis
Description
Usage
Arguments
Value
Examples
Description
Performs the FindClusters() Seurat function over
multiple resolutions
Usage
1
find_clusters(object, resolutions = c(0.1, 1, 10), n.start = 5)
Arguments
object
a Seurat object.
resolutions
numeric array of clustering resolutions
n.start
number of random starts for Louvain clustering
Value
List of Seurat objects labelled by clustering resolution
Examples
1
find_clusters(seurat_object, resolutions = c(0.1,1,10), n.start = 10)
ZacharyDeBruine/WGCCNA documentation built on Dec. 16, 2019, 12:33 a.m.
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Description Usage Arguments Value Examples
Description
Performs the FindClusters() Seurat function over multiple resolutions
Usage
1 | find_clusters(object, resolutions = c(0.1, 1, 10), n.start = 5)
|
Arguments
object |
a Seurat object. |
resolutions |
numeric array of clustering resolutions |
n.start |
number of random starts for Louvain clustering |
Value
List of Seurat objects labelled by clustering resolution
Examples
1 | find_clusters(seurat_object, resolutions = c(0.1,1,10), n.start = 10)
|
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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