Description Usage Arguments Value
View source: R/rnaSeqNormalizer.R
Cory, Michael and Max brewed up their preferred method, to which I have added asinh and vst (variance stabilizing normalization), here packaged up for easy reuse. ensg identifers are mapped to geneSymbols. duplicated geneSymbols are eliminated in favor of the one with the highest score according to the selected statistic: mean, median, sd (standard deviation)
1 | rnaSeqNormalizer.gtex(x, algorithm, duplicate.selection.statistic)
|
x |
a matix or data.frame of RNA-seq counts, rows are genes, columnns are mostly samples |
algorithm |
a character string, one of "log+scale", "asinh", "vsn |
duplicate.selection.statistc |
a character string, one of "median", "mean", "sd". when duplicate geneSymbols are supplied or obtained from name mapping, the highest scoring of the duplicates, by the specified meansure, is kept; all others are dropped |
A normalized matrix with dimensions, row and column names preserved
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