computeZScore: Compute Z-Score
In compbiomed/singleCellTK: Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data
View source: R/computeZScore.R
computeZScore R Documentation
Compute Z-Score
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
computeZScore(counts)
Arguments
counts
matrix (base matrix, dgCMatrix or DelayedMatrix)
Value
z-score computed counts matrix (DelayedMatrix)
Examples
data(sce_chcl, package = "scds")
assay(sce_chcl, "countsZScore") <- computeZScore(assay(sce_chcl, "counts"))
compbiomed/singleCellTK documentation built on Oct. 27, 2024, 3:26 a.m.
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View source: R/computeZScore.R
| computeZScore | R Documentation |
Compute Z-Score
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
computeZScore(counts)
Arguments
counts |
matrix (base matrix, dgCMatrix or DelayedMatrix) |
Value
z-score computed counts matrix (DelayedMatrix)
Examples
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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