misc/mayo.tcx/prep.R
In PriceLab/rnaSeqNormalization: rnaSeqNormalizer: Cory Funk's favorite methods
# test_rnaSeqNormalizer
#------------------------------------------------------------------------------------------------------------------------
library(rnaSeqNormalizer)
library(RUnit)
#------------------------------------------------------------------------------------------------------------------------
tbl <- read.table("corrected_data.tsv", sep="\t", as.is=TRUE, nrow=-1)
tbl$ensembl_id <- rownames(tbl)
rownames(tbl) <- NULL
normalizer <- rnaSeqNormalizer(tbl, "log+scale", "mean")
mtx <- getNormalizedMatrix(normalizer)
save(mtx, file="mayo.tcx.16969x262.covariateCorrection.log+scale.RData")
PriceLab/rnaSeqNormalization documentation built on Jan. 23, 2020, 4:48 a.m.
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# test_rnaSeqNormalizer
#------------------------------------------------------------------------------------------------------------------------
library(rnaSeqNormalizer)
library(RUnit)
#------------------------------------------------------------------------------------------------------------------------
tbl <- read.table("corrected_data.tsv", sep="\t", as.is=TRUE, nrow=-1)
tbl$ensembl_id <- rownames(tbl)
rownames(tbl) <- NULL
normalizer <- rnaSeqNormalizer(tbl, "log+scale", "mean")
mtx <- getNormalizedMatrix(normalizer)
save(mtx, file="mayo.tcx.16969x262.covariateCorrection.log+scale.RData")
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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