Seurat_Clust: Seurat Clustering
In suke18/FEAST: FEAture SelcTion (FEAST) for Single-cell clustering
Description
Usage
Arguments
Value
Description
Seurat Clustering
Usage
1
Seurat_Clust(Y, knn = 10, resolution = 0.5, input_markers = NULL)
Arguments
Y
A expression matrix. It is recommended to use the raw count matrix.
knn
of nearest neighbors (knn).
resolution
clustering resolution (0, 1) (default = 0.5).
input_markers
A character vector including the featured genes. If they are not presented, SC3 will take care of this.
Value
the clustering labels and the featured genes.
input_markers is a character vector
suke18/FEAST documentation built on Sept. 14, 2021, 12:22 a.m.
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Description Usage Arguments Value
Description
Seurat Clustering
Usage
1 | Seurat_Clust(Y, knn = 10, resolution = 0.5, input_markers = NULL)
|
Arguments
Y |
A expression matrix. It is recommended to use the raw count matrix. |
knn |
of nearest neighbors (knn). |
resolution |
clustering resolution (0, 1) (default = 0.5). |
input_markers |
A character vector including the featured genes. If they are not presented, SC3 will take care of this. |
Value
the clustering labels and the featured genes. input_markers is a character vector
R Package Documentation
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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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