[BioC] HELP| Agilent Sureprint data , CGH analysis with limma and snapCGH
Gabriel Wajnberg
GWajnberg at inca.gov.br
Wed Aug 15 18:17:59 CEST 2012
No no it was just typing error sorry,...
especifically I tried this way
MA2 <- processCGH(MAT, method.of.averaging=mean, ID="ProbeName")
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Gabriel Wajnberg
Mestrando em Biologia Computacional e Sistemas - Instituto Oswaldo Cruz -
Fiocruz - RJ
Laboratório de Bioinformática e Biologia Computacional (LBBC)
Coordenação de Pesquisa (CPQ)
Instituto Nacional de Câncer (INCA)
Rio de Janeiro - RJ
Tel: (21) 3207-6546
Cel: (21) 9313-2160
-----Benilton Carvalho <beniltoncarvalho at gmail.com> wrote: -----
To: "Gabriel Wajnberg [guest]" <guest at bioconductor.org>
From: Benilton Carvalho <beniltoncarvalho at gmail.com>
Date: 08/14/2012 06:47PM
Cc: bioconductor at r-project.org, gwajnberg at inca.gov.br, snapCGH Maintainer
<marioni at uchicago.edu>
Subject: Re: [BioC] HELP| Agilent Sureprint data , CGH analysis with limma
and snapCGH
Could it be that your last line is
processCGH(MA)
instead of
processCGH(MAT)
?
b
On 14 August 2012 20:14, Gabriel Wajnberg [guest]
<guest at bioconductor.org> wrote:
>
>> HC8204T <-
read.maimages(c("HC8204_US09423728_252192411868_S01_CGH_107_Sep09_2_1.txt"
, "HC8204_US09423728_252192411868_S01_CGH_107_Sep09_2_3.txt"),
source="agilent",columns = list(G = "gMedianSignal", Gb =
"gBGMedianSignal", R = "rMedianSignal",
> + Rb = "rBGMedianSignal"), annotation = c("Row", "Col","FeatureNum",
"ControlType","ProbeName"))
>> HC8204T$design <- c(1,-1)
>> RGT <- backgroundCorrect(HC8204T, method="minimum", offset=1)
>> MAT <- normalizeWithinArrays(RGT, method="loess")
>> pros <- processCGH(MA)
> Error in order(MA$genes$Chr, MA$genes$Position) :
> argument 1 is not a vector
>
> So why does this error happens? is this the right way to analyze this
data???
>
> thanks
> Gabriel
>
>
>
> -- output of sessionInfo():
>
>> sessionInfo()
> R version 2.15.1 (2012-06-22)
> Platform: x86_64-pc-linux-gnu (64-bit)
>
> locale:
> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
> [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
> [7] LC_PAPER=C LC_NAME=C
> [9] LC_ADDRESS=C LC_TELEPHONE=C
> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> other attached packages:
> [1] snapCGH_1.26.0 DNAcopy_1.30.0 limma_3.12.1
>
> loaded via a namespace (and not attached):
> [1] aCGH_1.34.0 affy_1.34.0 affyio_1.24.0
> [4] annotate_1.34.1 AnnotationDbi_1.18.1 Biobase_2.16.0
> [7] BiocGenerics_0.2.0 BiocInstaller_1.4.7 cluster_1.14.2
> [10] DBI_0.2-5 genefilter_1.38.0 GLAD_2.18.0
> [13] grid_2.15.1 IRanges_1.14.4 lattice_0.20-6
> [16] MASS_7.3-20 multtest_2.12.0 pixmap_0.4-11
> [19] preprocessCore_1.18.0 RColorBrewer_1.0-5 RSQLite_0.11.1
> [22] splines_2.15.1 stats4_2.15.1 strucchange_1.4-7
> [25] survival_2.36-14 tilingArray_1.34.0 tools_2.15.1
> [28] vsn_3.24.0 XML_3.9-4 xtable_1.7-0
> [31] zlibbioc_1.2.0
>
>
> --
> Sent via the guest posting facility at bioconductor.org.
>
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