KMeansGapStat: Imitate Seurat::FindClusters but using k-means with the gap...
In maehrlab/thymusatlastools: Tools for analysis of single-cell transcriptomic data
View source: R/exploratory_pipeline.R
Description
Imitate Seurat::FindClusters but using k-means with the gap statistic.
Usage
1
KMeansGapStat(dge, nclust = NULL, pc.use = 1:25, iter.max = 20)
Arguments
dge
Seurat object
nclust
NULL by default, so chosen via gap statistic.
pc.use
maehrlab/thymusatlastools documentation built on May 28, 2019, 2:32 a.m.
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View source: R/exploratory_pipeline.R
Description
Imitate Seurat::FindClusters but using k-means with the gap statistic.
Usage
1 | KMeansGapStat(dge, nclust = NULL, pc.use = 1:25, iter.max = 20)
|
Arguments
dge |
Seurat object |
nclust |
NULL by default, so chosen via gap statistic. |
pc.use |
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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