RankNorm: Rank Normalization
In wiscstatman/EBSeq: An R package for gene and isoform differential expression analysis of RNA-seq data
RankNorm R Documentation
Rank Normalization
Description
'RankNorm' gives the rank normalization.
Usage
RankNorm(Data)
Arguments
Data
The data matrix with transcripts in rows and lanes in columns.
Value
The function will return a matrix contains the normalization factor for each lane and each transcript.
Author(s)
Ning Leng
See Also
MedianNorm, QuantileNorm
Examples
data(GeneMat)
Sizes = RankNorm(GeneMat)
# Run EBSeq
# EBres = EBTest(Data = GeneData, NgVector = rep(1,10^4),
# Vect5End = rep(1,10^4), Vect3End = rep(1,10^4),
# Conditions = as.factor(rep(c(1,2), each=5)),
# sizeFactors = Sizes, maxround=5)
wiscstatman/EBSeq documentation built on June 3, 2023, 7:34 a.m.
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| RankNorm | R Documentation |
Rank Normalization
Description
'RankNorm' gives the rank normalization.
Usage
RankNorm(Data)
Arguments
Data |
The data matrix with transcripts in rows and lanes in columns. |
Value
The function will return a matrix contains the normalization factor for each lane and each transcript.
Author(s)
Ning Leng
See Also
MedianNorm, QuantileNorm
Examples
data(GeneMat)
Sizes = RankNorm(GeneMat)
# Run EBSeq
# EBres = EBTest(Data = GeneData, NgVector = rep(1,10^4),
# Vect5End = rep(1,10^4), Vect3End = rep(1,10^4),
# Conditions = as.factor(rep(c(1,2), each=5)),
# sizeFactors = Sizes, maxround=5)
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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