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Ariel Chernomoretz
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380
@ariel-chernomoretz-885
Last seen 10.2 years ago
Dear list,
1) I wrote a couple of functions to remove a list of probes and/or
probesets from
a given CDF and Probe environments (I did not find that anywhere). The
idea is to be able to remove
'offending' probes from rma and gcrma calculations. These functions
are included in the attached file
'removeProbes.R', and an example is included in 'removeProbesEx.R'.
The code is there to anyone that want to give it a try.
2) The function 'RemoveProbes' modifies the specified CDF and PROBE
environments
in a consistent way. IMHO this should be gcrma-compliant (i am
using gcrma 1.1.3) .
However I found a strange behavior I would like to discuss. If just a
single probe is removed (e.g '1000_at1' from
Dilution dataset, see removeProbesEx.R) then only the RMA expression
value of the modified probeset changes when compared with the
full-probe result :-) . The same is true for GCRMA 1.1.0.
However, the expression values of many different probe-sets (and not
only the modified one) calculated by GCRMA 1.1.3 change (see figure
attached where expression values calculated with and without 1000_at1
are plot for both, RMA and GCRMA ).
After some analysis I think the problem is in the function
'bg.parameters.ns' of gcrma 1.1.3.
The sampling of 5000 affinity values performed in order to fit the
MM-affinities dependency produce slightly different results when the
number of sampled affinities changes (even in one unit!). This
results
in different loess fitting curves, and different mean and sigma
estimates for PM nonspecific signals, etc, etc.
On the contrary the method to estimate bg parameters implemented in
version 1.1.0 (based on the analysis of PM distribution, group by
affinities) seems to be far most robust. ( of course I am talking here
of implementation, not on the different working hypothesis) .
I would like to here opinions regarding how this behavior affect gcrma
estimates?
Should one for instance conclude that this instability precludes
accuracy in version 1.1.3?
Regards,
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Ariel Chernomoretz, Ph.D.
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