[BioC] rma.background.correct produces lots of NaNs for one array

[Daniel Brewer]

Hi,

I am experimenting with different normalisation methods for miRNA
AIglent arrays.  When I try to remove the background using
rma.background.correct I get one array that has lots of NaNs.

Does anyone know what could cause this?  The distribution is not
particularly different from the other arrays.

Any ideas how to fix?

Thanks

Dan

> sessionInfo()
R version 2.10.1 (2009-12-14)
x86_64-apple-darwin9.8.0

locale:
[1] en_GB.UTF-8/en_GB.UTF-8/C/C/en_GB.UTF-8/en_GB.UTF-8

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

other attached packages:
[1] AgiMicroRna_1.0.0    preprocessCore_1.8.0 affy_1.24.0
[4] limma_3.2.1          Biobase_2.6.0

loaded via a namespace (and not attached):
[1] affyio_1.14.0 tools_2.10.1


-- 
**************************************************************
Daniel Brewer, Ph.D.

Institute of Cancer Research
Molecular Carcinogenesis
Email: daniel.brewer at icr.ac.uk
**************************************************************

The Institute of Cancer Research: Royal Cancer Hospital, a charitable Company Limited by Guarantee, Registered in England under Company No. 534147 with its Registered Office at 123 Old Brompton Road, London SW7 3RP.

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