The experiment aims to detect differentially expressed genes in Affymetrix micro-arrays and RNA-seq data in a comparative study. For this, samples from two tissues (liver and kidney) were compared.
Usage
marioni
Format
A data.frame containing gene expression values from an Affymetrix microarray, including P-values, log2-fold changes and alternative annotations
Source
http://giladlab.uchicago.edu/data.html
References
Marioni, J. C. et al. (2008) RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome research
Examples
data(marioni)
head(marioni[, 1:5])
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(geecc)
geecc 1.6.0 loaded
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/geecc/marioni.Rd_%03d_medium.png", width=480, height=480)
> ### Name: marioni
> ### Title: Affymetrix microarray gene expression data
> ### Aliases: marioni
> ### Keywords: datasets
>
> ### ** Examples
>
> data(marioni)
> head(marioni[, 1:5])
Chr Start End Ensembl ExternalID
205626_s_at 8 91140013 91164283 ENSG00000104327 CALB1
220281_at 15 46287021 46383565 ENSG00000074803 SLC12A1
207102_at 7 137411735 137453590 ENSG00000122787 AKR1D1
205978_at 13 32488570 32538279 ENSG00000133116 KL
206345_s_at 7 94765931 94791731 ENSG00000005421 PON1
219630_at 1 47421852 47428314 ENSG00000162366 PDZK1IP1
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> dev.off()
null device
1
>