pcTopCells: Find cells with highest PCA scores
In paodan/studySeu: Seurat : R toolkit for single cell genomics
Description
Usage
Arguments
Value
Description
Return a list of genes with the strongest contribution to a set of principal components
Usage
1
pcTopCells(object, pc.use = 1, num.cells = NULL, do.balanced = FALSE)
Arguments
object
Seurat object
pc.use
Principal component to use
do.balanced
Return an equal number of cells with both + and - PC scores.
num.genes
Number of cells to return
Value
Returns a vector of cells
paodan/studySeu documentation built on May 23, 2019, 3:06 p.m.
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Description Usage Arguments Value
Description
Return a list of genes with the strongest contribution to a set of principal components
Usage
1 | pcTopCells(object, pc.use = 1, num.cells = NULL, do.balanced = FALSE)
|
Arguments
object |
Seurat object |
pc.use |
Principal component to use |
do.balanced |
Return an equal number of cells with both + and - PC scores. |
num.genes |
Number of cells to return |
Value
Returns a vector of cells
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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