[BioC] Robustspline and two dimentional loess for two color agilent data
Gordon K Smyth
smyth at wehi.EDU.AU
Fri Aug 22 02:57:33 CEST 2014
Dear Samaneh Fazeli,
I am guessing that this is question about
normalizeWithinArrays(RG, method="robustspline")
in the limma package. When there are no print tips, robust-spline
normalization reduces to loess normalization. Hence you should use:
normalizeWithinArrays(RG, method="loess")
for Agilent arrays.
Best wishes
Gordon
> Date: Thu, 21 Aug 2014 01:54:20 -0700 (PDT)
> From: "Samane [guest]" <guest at bioconductor.org>
> To: bioconductor at r-project.org, samanefazeli at gmail.com
> Subject: [BioC] Robustspline and two dimentional loess for two color
> agilent data
>
> Hi
> Since there is no print tip in Agilent technology, Could I use
> robust-spline and two dimensional loess on such data sets? I am
> comparing some normalization methods on two color Agilent data; In the
> most of times, robust-spline goes the best method based on comparison of
> variance and ICC among replicated arrays. However I can not find lots of
> papers which have applied these methods on Agilent data.
> I am looking forward to hearing from u.
> Regards,
> Samaneh Fazeli
>
>
> -- output of sessionInfo():
>
> R
>
> --
> Sent via the guest posting facility at bioconductor.org.
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