[BioC] which statistical test to perform?
Sean Davis
sdavis2 at mail.nih.gov
Wed Nov 23 12:27:53 CET 2011
On Wed, Nov 23, 2011 at 5:14 AM, anand mt [guest]
<guest at bioconductor.org> wrote:
>
> hi all,
>
> i'm new to this microarray data analysis.
> recently i've been given data consisting of 11 tissues.
> now i've normalized the data, filtered data using mas5 AP calls. My question is, which statistical test i must perform
> to calculate the significance values ??
>
> sample data is as below:
>
>
> accumbens amygdala cerebellum corpus.collosum hippocampus midbrain p.lobe putamen s.nigra t.lobe thalamus
> 1007_s_at 11.93852233 12.21404093 11.46118612 13.41594885 12.42216256 12.89589133 11.58715914 11.85803472 12.79920479 12.07087932 12.55338306
> 1053_at 7.490706858 7.526181155 7.551069308 7.891002293 7.49104271 7.971097552 8.088918072 7.660258014 7.92423132 7.54689645 7.128753703
> 117_at 8.486898268 8.773089087 7.642339349 8.560352732 7.676296801 7.865961146 7.250275943 7.929165261 7.874073766 7.940298941 8.10731601
>
>
> I got some web results, from which i came to know that, chi-square test is of more relevant in this case (to compare 3 or more unmatched groups, binomial). Is it correct to choose chi-square test ??
>
> Sorry if my question is too lame.
Hi, Anand.
I'm assuming that for you the biological question that you are asking
is obvious, but to me it seems unclear. In particular, what groups
above are you trying to compare? It seems you have no replicates?
Sean
> thanks in advance.
>
> -- output of sessionInfo():
>
> R version 2.13.1 (2011-07-08)
> Platform: i386-pc-mingw32/i386 (32-bit)
>
> locale:
> [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 LC_NUMERIC=C
> [5] LC_TIME=English_United States.1252
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> other attached packages:
> [1] MASS_7.3-13
>
> loaded via a namespace (and not attached):
> [1] tools_2.13.1
>
> --
> Sent via the guest posting facility at bioconductor.org.
>
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