Last updated: 2017-06-01
Code version: a40ffff
Identifiability of small effects from correlation.
library(ashr)
library(edgeR)
library(limma)
library(pROC)
source("../code/gdash.R")
data = readRDS("../data/liver.rds")
ngene = 1e4
data = top_gene_selection(ngene, data)$data
\[g = 0.9\delta_0 + 0.1N\left(0, \sigma^2\right) \ .\]
\[g = 0.99\delta_0 + 0.01N\left(0, \left(3.16\sigma\right)^2\right) \ .\]
\[g = 0.1\delta_0 + 0.9N\left(0, \left(0.33\sigma\right)^2\right) \ .\]
\[g = 0.5\delta_0 + 0.5N\left(0, \sigma^2\right) \ .\]
\[g = 0.6\delta_0 + 0.3N\left(0, \left(0.82\sigma\right)^2\right) + 0.1N\left(0, \left(1.73\sigma\right)^2\right) \ .\]
\[g = 0.1\delta_0 + 0.9N\left(0, \left(0.75\sigma^2\right)^2\right) \ .\]
sessionInfo()
R version 3.3.3 (2017-03-06)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: macOS Sierra 10.12.5
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] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] backports_1.0.5 magrittr_1.5 rprojroot_1.2 tools_3.3.3
[5] htmltools_0.3.6 yaml_2.1.14 Rcpp_0.12.10 stringi_1.1.5
[9] rmarkdown_1.5 knitr_1.16 git2r_0.18.0 stringr_1.2.0
[13] digest_0.6.12 evaluate_0.10
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