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. This e-mail message is confidential and for use by the a...{{dropped:2}}