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Do you have two readings of intensity for each locus from the same
exact tissue? Or is the average over a larger number of intensities? Is
there anything that distinguishes the readings? <br>
<br>
How did you select the tissues?<br>
Are there subsets of the cases that have a known characteristic?<br>
<br>
Several people at the Classification Society meeting a couple of weeks
ago dealt with this kind of problem. I suggest that you clarify your
question and post it to <br>
<a class="moz-txt-link-freetext" href="http://lists.sunysb.edu/index.cgi?A0=CLASS-L">http://lists.sunysb.edu/index.cgi?A0=CLASS-L</a><br>
<br>
It would greatly reduce the size of the analysis by doing correlations
of those you are specifically interested WITH selected sets of the
others. The curse of dimensionality will still be a major consideration.<br>
<br>
Art Kendall<br>
Social Research Consultants<br>
spobster wrote:
<blockquote cite="mid:24192550.post@talk.nabble.com" type="cite">As an
answer to everybody: I will try to explain. The data are the result of
micro-array analysis. Using 30000 different probes specific for the
different genes on the human genome, expression of these genes in 79
different tissues was tested. All probes have an average value of
intensity from duplicates for each of the 79 tissues.
I will try to expain what I want with the correlations: I want to make
the correlations to find out which genes have a similar expression
pattern throughout these 79 tissues. Of course, there are some genes of
special interest to me, and it is most exciting to see which other
genes belong to the group containing these genes. However, I realize
that the groups might be not tightly defined, and therefore it is
interesting to see also the correlation from borderline genes with each
gene within such a group.
If the total correlation option is not possible, then I hope that some
of you can come up with a nice option to classify the different genes
according to their tissue expression.
If you have more questions concerning my approach, please don't
hesitate to ask!
Thanks everybody!!
Spobster
<blockquote class="quote light-black dark-border-color">
<div class="quote light-border-color">
<div class="quote-author" style="font-weight: bold;">SR Millis
wrote:</div>
<div class="quote-message">
Why are you performing so many correlations, ie, what is the nature of
the study?
Scott Millis
--- On Wed, 6/24/09, spobster <rmspaapen@HOTMAIL.COM> wrote:
> From: spobster <rmspaapen@HOTMAIL.COM>
> Subject: SPSS Bivariate Correlations using Pearsons LIMITED?
> To: <a class="moz-txt-link-abbreviated" href="mailto:SPSSX-L@LISTSERV.UGA.EDU">SPSSX-L@LISTSERV.UGA.EDU</a>
> Date: Wednesday, June 24, 2009, 12:14 PM
>
> I have a question that is similar to one that you answered
> on a forum (nabble
> link). Therefore I sincerely hope that someone can help
> me with my question too.
>
> I need to do large bivariate Pearson correlation
> calculations (30000 variables, 79 cases, fully filled
> table). Do you think this is doable? I am a complete SPSS
> noob, so if you get back to me with a syntax code or file,
> could you please explain me in detail what I should change
> in this (filename, or row numbers etc.) before running?
>
> Thanks already so much!
>
> spobster
>
>
> View this message in context: SPSS
> Bivariate Correlations using Pearsons LIMITED?
>
> Sent from the SPSSX
> Discussion mailing list archive at Nabble.com.
>
>
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</blockquote>
<br>
<hr align="left" width="300">View this message in context: <a
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href="http://www.nabble.com/SPSS-Bivariate-Correlations-using-Pearsons-LIMITED--tp24187648p24192550.html">Re:
SPSS Bivariate Correlations using Pearsons LIMITED?</a><br>
Sent from the <a moz-do-not-send="true"
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