[BioC] Integration of different microarray data (same platform)

Chirag Gupta [guest] guest at bioconductor.org
Thu Oct 24 05:57:11 CEST 2013

I need to integrate affymetrix data from different labs into one large expression matrix. This matrix will have different experiments as the columns and genes as rows. How can I do this in a way that is statistically robust. Should I normalize each experiment individually and column bind all the different experiments?


 -- output of sessionInfo(): 

R version 3.0.1 (2013-05-16)
Platform: x86_64-w64-mingw32/x64 (64-bit)

[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] BiocInstaller_1.10.4

loaded via a namespace (and not attached):
[1] Biobase_2.20.1     BiocGenerics_0.6.0 parallel_3.0.1     tools_3.0.1

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