Log2Normalize: Compute log normalized expression values from count data in a...
In debsin/dropClust: Single Cell Transcriptome Analysis
Description
Usage
Arguments
Details
Value
Examples
Description
Compute log normalized expression values from count data in a SingleCellExperiment object.
Usage
1
Log2Normalize(x, return.sparse = FALSE)
Arguments
x
either a sparse or a dense matrix.
return.sparse
Logical when TRUE return type is same as input, when
FLASE a dense matrix is returned.
Details
The input matrix is transformed into the log base 2 scale after addition of a pseudo count 1.
Value
log normalized matrix same as the input dimensions.
Examples
1
2
3
a = matrix(rpois(100, lambda = 10), ncol=10, nrow=10)
lnorm <- Log2Normalize(a)
debsin/dropClust documentation built on Nov. 4, 2019, 10:22 a.m.
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Description Usage Arguments Details Value Examples
Description
Compute log normalized expression values from count data in a SingleCellExperiment object.
Usage
1 | Log2Normalize(x, return.sparse = FALSE)
|
Arguments
x |
either a sparse or a dense matrix. |
return.sparse |
Logical when |
Details
The input matrix is transformed into the log base 2 scale after addition of a pseudo count 1.
Value
log normalized matrix same as the input dimensions.
Examples
1 2 3 | a = matrix(rpois(100, lambda = 10), ncol=10, nrow=10)
lnorm <- Log2Normalize(a)
|
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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