ICTopCells: Find cells with highest ICA scores
In mayer-lab/SeuratForMayer2018: 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
ICTopCells(object, ic.use = 1, num.cells = NULL, do.balanced = FALSE)
Arguments
object
Seurat object
ic.use
Independent component to use
num.cells
Number of cells to return
do.balanced
Return an equal number of cells with both + and - PC scores.
Value
Returns a vector of cells
mayer-lab/SeuratForMayer2018 documentation built on May 25, 2019, 9:34 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 | ICTopCells(object, ic.use = 1, num.cells = NULL, do.balanced = FALSE)
|
Arguments
object |
Seurat object |
ic.use |
Independent component to use |
num.cells |
Number of cells to return |
do.balanced |
Return an equal number of cells with both + and - PC scores. |
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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