computeZScore: Compute Z-Score
In singleCellTK: Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data
Description
Usage
Arguments
Value
Examples
View source: R/computeZScore.R
Description
Computes Z-Score from an input count matrix using the formula ((x-mean(x))/sd(x))
for each gene across all cells. The input count matrix can either be a base matrix,
dgCMatrix or a DelayedMatrix. Computations are performed using DelayedMatrixStats
package to efficiently compute the Z-Score matrix.
Usage
1
computeZScore(counts)
Arguments
counts
matrix (base matrix, dgCMatrix or DelaymedMatrix)
Value
z-score computed counts matrix (DelayedMatrix)
Examples
1
2
data(sce_chcl, package = "scds")
assay(sce_chcl, "countsZScore") <- computeZScore(assay(sce_chcl, "counts"))
singleCellTK documentation built on Nov. 8, 2020, 5:21 p.m.
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Description Usage Arguments Value Examples
View source: R/computeZScore.R
Description
Computes Z-Score from an input count matrix using the formula ((x-mean(x))/sd(x)) for each gene across all cells. The input count matrix can either be a base matrix, dgCMatrix or a DelayedMatrix. Computations are performed using DelayedMatrixStats package to efficiently compute the Z-Score matrix.
Usage
1 | computeZScore(counts)
|
Arguments
counts |
matrix (base matrix, dgCMatrix or DelaymedMatrix) |
Value
z-score computed counts matrix (DelayedMatrix)
Examples
1 2 | data(sce_chcl, package = "scds")
assay(sce_chcl, "countsZScore") <- computeZScore(assay(sce_chcl, "counts"))
|
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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