Normalizes RNA-seq count data using previously published
approaches. Each samples' read counts are corrected by a
normalizing factor. The options are "RLE" by (Anders and
Huber, 2010), and "upperquartile" by (Bullard et al.,
2010).
Usage
normalizeData(X, normalization)
Arguments
X
data a raw data matrix, where' columns are
interpreted as samples and rows as genomic regions.
normalization
method used for normalizing the
reads. RLE is the method used by (Anders and Huber,
2010), upperquartile is the Upper-Quartile method from
(Bullard et al., 2010), and none deactivates
normalization. (Default = "RLE").
Value
"list" A list containing the normalized data (in its "X"
component) as well as the size-factors used for the
normalization ("sizeFactors").
Anders, S. and Huber, W. (2010). Differential
expression analysis for sequence count data. Genome
Biol, 11(10), R106.
Bullard, J. H., Purdom, E., Hansen, K. D., and Dudoit, S.
(2010). Evaluation of statistical methods for
normalization and differential expression in mRNA-seq
experiments. BMC Bioinformatics, 11, 94.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(dexus)
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Attaching package: 'dexus'
The following object is masked from 'package:BiocGenerics':
sizeFactors
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/dexus/normalizeData.Rd_%03d_medium.png", width=480, height=480)
> ### Name: normalizeData
> ### Title: Normalization of RNA-Seq count data.
> ### Aliases: normalizeData
>
> ### ** Examples
>
> data(dexus)
> norm <- normalizeData(countsBottomly,"RLE")
>
>
>
>
>
> dev.off()
null device
1
>