downsampleCounts: Downsample read counts
In pmoulos/metaseqR2-local: An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms
downsampleCounts R Documentation
Downsample read counts
Description
This function downsamples the library sizes
of a read counts table to the lowest library
size, according to the methdology used in
(Soneson and Delorenzi, BMC Bioinformatics,
2013).
Usage
downsampleCounts(counts)
Arguments
counts
the read counts table
which is subjected to downsampling.
Details
The downsampling process involves random sampling.
For guaranteed reproducibility, be sure to use
set.seed before downsampling. By default,
when the metaseqR2 package is loaded, the seed is
set to 42.
Value
The downsampled counts matrix.
Author(s)
Panagiotis Moulos
Examples
dataMatrix <- metaseqR2:::exampleCountData(5000)
D <- downsampleCounts(dataMatrix)
pmoulos/metaseqR2-local documentation built on March 15, 2024, 10:58 p.m.
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| downsampleCounts | R Documentation |
Downsample read counts
Description
This function downsamples the library sizes of a read counts table to the lowest library size, according to the methdology used in (Soneson and Delorenzi, BMC Bioinformatics, 2013).
Usage
downsampleCounts(counts)
Arguments
counts |
the read counts table which is subjected to downsampling. |
Details
The downsampling process involves random sampling.
For guaranteed reproducibility, be sure to use
set.seed before downsampling. By default,
when the metaseqR2 package is loaded, the seed is
set to 42.
Value
The downsampled counts matrix.
Author(s)
Panagiotis Moulos
Examples
dataMatrix <- metaseqR2:::exampleCountData(5000)
D <- downsampleCounts(dataMatrix)
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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