NormalizedCounts: NormalizeCounts
In CNVPanelizer: Reliable CNV detection in targeted sequencing applications
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function normalize counts use of Total sum scaling or NOISeq::tmm to normalize
the read counts
Usage
1
2
NormalizeCounts(allCounts,
method)
Arguments
allCounts
Matrix or vector with sample read counts (rows: amplicons, columns: samples)
method
either "tmm" (trimmed mean of m values) or "tss"(total sum scaling)
Value
A matrice
samples
The samples matrix normalized
Author(s)
Cristiano Oliveira, Thomas Wolf
Examples
1
2
3
data(sampleReadCounts)
normalizedReadCounts <- NormalizeCounts(sampleReadCounts)
CNVPanelizer documentation built on Nov. 8, 2020, 6:47 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function normalize counts use of Total sum scaling or NOISeq::tmm to normalize the read counts
Usage
1 2 | NormalizeCounts(allCounts,
method)
|
Arguments
allCounts |
Matrix or vector with sample read counts (rows: amplicons, columns: samples) |
method |
either "tmm" (trimmed mean of m values) or "tss"(total sum scaling) |
Value
A matrice
samples |
The samples matrix normalized |
Author(s)
Cristiano Oliveira, Thomas Wolf
Examples
1 2 3 | data(sampleReadCounts)
normalizedReadCounts <- NormalizeCounts(sampleReadCounts)
|
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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