[BioC] RMA normalization,
which samples should be normalized together
Arne.Muller at sanofi-aventis.com
Arne.Muller at sanofi-aventis.com
Mon Feb 7 14:33:03 CET 2005
Dear Johannes,
I've a study with 84 affy chip to characterize a dose effect of a drug. The study was conducted in 3 different laboratories. There are strong differences betweent the laboratories and I've RMA normalized per laboratory and then merged the results in a single linear moel including the laboratory as an additional factor. Maybe you can make the patient or source of RNA a random factor in a mixe effects model - if you've replication per patient.
Just looking at those genes with a significant dose effect I did not find much differences between normalizing all chips together and normalizing per laboratory.
regards,
Arne
> -----Original Message-----
> From: bioconductor-bounces at stat.math.ethz.ch
> [mailto:bioconductor-bounces at stat.math.ethz.ch]On Behalf Of Dipl.-Ing.
> Johannes Rainer
> Sent: 07 February 2005 10:13
> To: bioconductor at stat.math.ethz.ch
> Subject: [BioC] RMA normalization,which samples should be normalized
> together
>
>
> hi,
> we are interested in the response of patients to a special treatment,
> so we have patient samples before and after treatment. i have
> normalized this samples in different ways using RMA. As RMA tries to
> detect and correct probe effects by looking at the expresison
> levels of
> the probes across all chips it is not surprising that the outcome of
> the analysis differs depending on which chips i normalize together.
> It is clear that i have to normalize all patient samples
> together if i
> want to compare the expression values of the genes (lets say using
> statistical tests). i am also analyzing the chips using the 'old
> fashioned way' by using M and A values and i suppose it is not
> problematic at all to compare M values of lets say patient 1, 6 hours
> sample against 0 hours sample with those from patient 2, also 6 hours
> versus 0 hours where the chips from the two patients were NOT
> normalized together.
>
> -now my question is if someone else has experience in what samples
> could and should be normalized together with RMA. I saw that ther are
> (big) differences in the regulation (M) values if i normalize two
> different patients together compared with the values that i
> get when i
> normalize only samples from the same patients together.
>
> thanks in advance
>
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