input gene-by-sample matrix or isoform-by-sample matrix
qt1,qt2
thresholds for outlier adjustment. For each gene/isoform,
values <= qt1 th quantile (>= qt2 th quantile)
will be pushed to qt1 th quantile (qt2 th quantile) prior to the scaling.
default values are 0.05 and 0.95.
Value
The output will be a gene-by-sample or isoform-by-sample matrix.
For each gene/isoform, the expressions will be scaled linearly to [-1,1]
Author(s)
Ning Leng
Examples
NormForSine(matrix(rnorm(10), nrow=2))
Results
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)
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> library(Oscope)
Loading required package: EBSeq
Loading required package: blockmodeling
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: testthat
Loading required package: cluster
Loading required package: BiocParallel
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/Oscope/NormForSine.Rd_%03d_medium.png", width=480, height=480)
> ### Name: NormForSine
> ### Title: Rescale the gene/isoform expression matrix
> ### Aliases: NormForSine
>
> ### ** Examples
>
> NormForSine(matrix(rnorm(10), nrow=2))
>
>
>
>
>
> dev.off()
null device
1
>