simulateNormFactors: Simulate Normalization Factors
In DEFormats: Differential gene expression data formats converter
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/simulateNormFactors.R
Description
Simulate gene-specific normalization factors for each sample of an RNA-seq
experiment.
Usage
1
simulateNormFactors(n = 1000L, m = 6L, seed = 0L, ...)
Arguments
n
number of genes
m
number of samples
seed
a single integer value specifying the random number generator
seed
...
arguments passed to matrix
Value
A matrix with n rows and m columns containing the
normalization factors.
Author(s)
Andrzej Ole<c5><9b> <andrzej.oles@embl.de>, 2016-2017
See Also
simulateRnaSeqData
Examples
1
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require("DESeq2")
## normalization factors
se = simulateRnaSeqData(output = "RangedSummarizedExperiment")
dds = DESeqDataSet(se, design = ~ condition)
normalizationFactors(dds) = simulateNormFactors()
DEFormats documentation built on Nov. 8, 2020, 5:31 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/simulateNormFactors.R
Description
Simulate gene-specific normalization factors for each sample of an RNA-seq experiment.
Usage
1 | simulateNormFactors(n = 1000L, m = 6L, seed = 0L, ...)
|
Arguments
n |
number of genes |
m |
number of samples |
seed |
a single integer value specifying the random number generator seed |
... |
arguments passed to |
Value
A matrix with n rows and m columns containing the
normalization factors.
Author(s)
Andrzej Ole<c5><9b> <andrzej.oles@embl.de>, 2016-2017
See Also
simulateRnaSeqData
Examples
1 2 3 4 5 6 7 8 | require("DESeq2")
## normalization factors
se = simulateRnaSeqData(output = "RangedSummarizedExperiment")
dds = DESeqDataSet(se, design = ~ condition)
normalizationFactors(dds) = simulateNormFactors()
|
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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