KClustDimension: Perform spectral k-means clustering on single cells
In nukappa/seurat_v2: Seurat : R toolkit for single cell genomics
Description
Find point clounds single cells in a low-dimensional space using k-means clustering.
Usage
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3
KClustDimension(object, dim.1 = 1, dim.2 = 2, cells.use = NULL,
pt.size = 4, reduction.use = "tsne", k.use = 5, set.ident = FALSE,
seed.use = 1, ...)
Details
CAn be useful for smaller datasets, not documented here yet
nukappa/seurat_v2 documentation built on May 24, 2019, 9:57 a.m.
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Description
Find point clounds single cells in a low-dimensional space using k-means clustering.
Usage
1 2 3 | KClustDimension(object, dim.1 = 1, dim.2 = 2, cells.use = NULL,
pt.size = 4, reduction.use = "tsne", k.use = 5, set.ident = FALSE,
seed.use = 1, ...)
|
Details
CAn be useful for smaller datasets, not documented here yet
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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