Hi Miguel,
On 6/7/2013 5:11 AM, Miguel Moreno-Risueno wrote:
Hello all,
We have recently received a microarray experiment in the Nimblegen platform
where the intensity of the probe sets follow a bi-modal distribution. We
have been said from the facility that this is because of the dynamic range
of the Agilent scanner they use. We are concerned about the statistical
analysis with bioconductor as it is our understanding that these statistical
analyses are developed for normal or normal-like distribution. We appreciate
any information on this regard.
If I understand your question correctly, you are noting that the overall
distribution of probes within a sample has a bi-modal distribution. This
doesn't really have anything to do with any statistical tests you might
be computing, as you are not doing any statistics within a sample (e.g.,
one usually doesn't test to see if probe X is differentially expressed
as compared to probe Z in sample Q).
Instead, what you should be concerned with are the distributions of the
individual probes across samples. With microarray data we usually don't
have enough data to even begin to assess the across-sample, within probe
distributions (e.g., if you have three replicates for two sample types,
good luck trying to discern if those probes follow a normal
distribution, or are even 'hump-shaped'). In addition, there are usually
tens of thousands of probes on a given chip. I have never heard of
anybody looking at each probe, trying to assess if it follows a
reasonable distribution across samples. I suppose you could do it, but
to what point?
Instead we simply assume that the data follow a reasonable distribution
and then do the test. This is one of the reasons that it is imperative
to follow up promising leads with confirmatory testing, preferably with
new samples.
Best,
Jim
Thank you in advance for your help,
Miguel
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James W. MacDonald, M.S.
Biostatistician
University of Washington
Environmental and Occupational Health Sciences
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