[BioC] RNAseq expression analysis using DESeq: technical replicates, paired samples
Simon Anders
anders at embl.de
Mon Nov 7 23:11:05 CET 2011
Dear Michael
On 2011-11-07 22:56, Michael Muratet wrote:
> I would like to verify that 18 months later, adding counts for technical
> replicates is still the best approach for combining technical replicates.
>
> We are constrained to single biological replicates, but we're interested
> in using the technical replicates if we can. I recall that limma had
> ways to set up the model matrix.
Your question sounds as if you consider the issue as a technical
limitation of the available methods. Unfortunately, it is not, and I am
afraid, 18 months are not enough time for fundamental principles of
statistics to change.
If you want to know whether a difference between control and treatment
may be attributed to the treatment, you need to verify that this
difference is large compared to what you expect from random biological
variation, and without biological replicates you cannot know the extent
of biological variation.
Of course, you can perform the analysis on the level of technical
replicates, as you can with microarrays in limma. Then, you will get
lots of results, but any call of significant differences may only be
interpreted to mean that your two biological samples differ in this
gene. You may not infer that the difference is more likely to be the
result of your treatment than just due to chance differences between the
samples.
Best regards
Simon
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