Hi,

I'm not a expert on exon analysis, but I'll try to answer some of your
questions.

On Tue, Sep 13, 2011 at 5:45 AM, rene.rotterdam
<rene.boettche...@googlemail.com> wrote:
> Dear all,
>
> I fairly new to the field of Exon Arrays and my experiences with
> Microarrays in general are quite limited, so I have a couple of
> questions concerning the analysis of Exon Array data.
>
> First of all, I would like to do an RMA (or GCRMA) based on the
> validated genes of the core probeset (so bg, qn + sum). The way I
> understood the literature, this normalizes ALL probesets based on the
> intensity values of the core probeset (which is also what I intend to
> do).

Actually, this depends on what settings/intermediate preprocessing
methods you use.  For instance, in vignette 'Human exon array
analysis' [http://aroma-project.org/node/37] the quantile
normalization step is:

qn <- QuantileNormalization(csBC, typesToUpdate="pm")

which says that it operates only on PM probes.  The definition of what
a PM probe is is defined by the CDF used.  See also page 'Empirical
probe-signal densities and rank-based quantile normalization'
[http://aroma-project.org/node/141] for more information on how the
settings for QuantileNormalization affect the outcome.

> Afterwards, I want to extend my analysis on the full probeset, as
> I will focus on some genes that are not included in 'core'.
> I read about this procedure in a paper on APT and R by H. Lockstone
> and wanted to implement it via aroma.

The way the 'Human exon array analysis' vignette is outlined, changing
to another CDF will affect what probes are considered PMs and hence
also affect the preprocessing output.  To me (my personal opinion)
this is a bit unfortunate; ideally the early on preprocessing steps
that are designed to normalize probe-level data (not summarized)
should be invariant to the (CDF) annotation.  An alternative approach
is to use the "default" CDF throughout these steps, as done/suggested
in thread 'Help Regarding GCRMA Human Exon' (Dec 2, 2010)
[https://groups.google.com/forum/#!topic/aroma-affymetrix/QD6o-3XiifM/discussion].

>
> Am I mislead in this case?
> I tried to realize this by doing a GCRMA on 'core', but the resulting
> probe intensities are to few (~285k) and the probes I'm looking for
> are not included.
>
> Before that, I did a regular RMA on the full probeset and I got all
> the probes /the intensities I was looking for, but I realized that
> normalizing to not validated genes may not be the best idea.

As I indicated above, from my experience with other chiptypes I
*think* it is ok to probe-level normalization using the full CDF.
However, I haven't investigated the impact of doing this, so I might
be wrong.  I leave it to others with more exon-array experience to
comment on this/correct me.

>
> It would be a great help if you could set my thoughts straight and if
> I'm correct tell me how to use aroma to achieve what I want.
>
> Note: I assembled my script as described in
> http://aroma-project.org/node/37
> and
> https://groups.google.com/forum/#!topic/aroma-affymetrix/QD6o-3XiifM/discussion

FYI, it is always easier if you cut'n'paste you complete script to
your message - avoids second guessing.

Not much help, but at least some pointers and suggestions.

/Henrik

>
> Thank you in advance for your help.
>
> With best regards,
> Rene
>
> --
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> traceback(), and 3) to post a complete code example.
>
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-- 
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version of the package, 2) to report the output of sessionInfo() and 
traceback(), and 3) to post a complete code example.


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