Last updated: 2019-01-09
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Rmd | 75f3f79 | John Blischak | 2018-08-09 | Organize analysis of pre-processing raw Arabidopsis data. |
library(Biobase)
library(limma)
rds <- "../data/arabidopsis-eset-raw.rds"
eset <- readRDS(rds)
plotDensities(eset, legend = FALSE)
exprs(eset) <- log(exprs(eset))
plotDensities(eset, legend = FALSE)
exprs(eset) <- normalizeBetweenArrays(exprs(eset))
plotDensities(eset, legend = FALSE)
# View the normalized gene expression levels
plotDensities(eset, legend = FALSE)
abline(v = 5)
# Determine the genes with mean expression level greater than 5
keep <- rowMeans(exprs(eset)) > 5
sum(keep)
[1] 12036
# Filter the genes
eset <- eset[keep, ]
plotDensities(eset, legend = FALSE)
sessionInfo()
R version 3.3.3 (2017-03-06)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X Yosemite 10.10.5
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] limma_3.30.13 Biobase_2.34.0 BiocGenerics_0.20.0
loaded via a namespace (and not attached):
[1] workflowr_1.1.1.9001 Rcpp_1.0.0 digest_0.6.13
[4] rprojroot_1.3-2 backports_1.1.2 git2r_0.23.0
[7] magrittr_1.5 evaluate_0.10.1 stringi_1.2.3
[10] fs_1.2.6 whisker_0.3-2 rmarkdown_1.10.14
[13] htmldeps_0.1.1 tools_3.3.3 stringr_1.3.1
[16] glue_1.2.0.9000 yaml_2.2.0 htmltools_0.3.6
[19] knitr_1.20