Clustering_PCA: Clustering by PCA
In rafysta/rafysta: Private Function Packages
Description
Usage
Arguments
Value
Examples
Description
Perform PCA using prcomp function
Usage
1
Clustering_PCA(DATA, genes = NULL, cells = NULL, pca_max = 30)
Arguments
DATA
input matrices or seurat object. Row is genes, Column is samples
genes
vector of gene list
pca_max
how many principal component will be output (default=30)
Value
pca object
Examples
1
Clustering_PCA(DATA, genes=Gene_list)
rafysta/rafysta documentation built on May 3, 2019, 3:21 p.m.
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Description Usage Arguments Value Examples
Description
Perform PCA using prcomp function
Usage
1 | Clustering_PCA(DATA, genes = NULL, cells = NULL, pca_max = 30)
|
Arguments
DATA |
input matrices or seurat object. Row is genes, Column is samples |
genes |
vector of gene list |
pca_max |
how many principal component will be output (default=30) |
Value
pca object
Examples
1 | Clustering_PCA(DATA, genes=Gene_list)
|
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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