Entering edit mode
Peter White
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130
@peter-white-3162
Last seen 9.6 years ago
I have noticed an issue with the limma normalizeWithinArrays function
(and also with marray and maNorm). When normalizing two color data
generated with an Agilent 20-bt scanner it fails to normalize the high
intensity data (i.e. any points with an A value > 16). In our dataset
we have in excess of 400 elements with red and green intensities
ranging from 65500 to 475100. When we loess normalize the data any
points beyond A=16 appear to be untouched by the normalization. If the
attached figures come through this should be clear - when using maNorm
and maPlot it will plot the loess line and you can see it stop at 16.
Is it possible for loess normalization to be extended to this higher
intensity data? Or am I just doing something wrong? If the attached
plots come through they will make things clearer.
Thanks,
Peter
Peter White, Ph.D.
Director, Biomedical Genomics Core<http: genomics.nchresearch.org=""/>
Research Assistant Professor of Pediatrics
The Research Institute at
Nationwide Children's Hospital and
The Ohio State University
> sessionInfo()
R version 2.10.1 (2009-12-14)
i386-pc-mingw32
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] grDevices datasets splines graphics stats tcltk utils
[8] methods base
other attached packages:
[1] convert_1.22.0 marray_1.24.0 oligo_1.10.3
[4] preprocessCore_1.8.0 oligoClasses_1.8.0 Biobase_2.6.1
[7] limma_3.2.2 svSocket_0.9-48 TinnR_1.0.3
[10] R2HTML_1.59-1 Hmisc_3.7-0 survival_2.35-8
loaded via a namespace (and not attached):
[1] affxparser_1.18.0 affyio_1.14.0 Biostrings_2.14.12
cluster_1.12.1
[5] DBI_0.2-5 grid_2.10.1 IRanges_1.4.13
lattice_0.18-3
[9] svMisc_0.9-56 tools_2.10.1
>
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