[BioC] Limma
Jenny Drnevich
drnevich at illinois.edu
Wed Apr 6 16:52:51 CEST 2011
Hi Seraya,
I think your explanation for the reviewer is on
track. Despite the fact that some microarray
platforms allow the calculation of a metric
called "present" or "absent", they really cannot
detect whether a gene is truly expressed or not.
Instead, it's just a metric saying if the signal
was above some noise threshold. Now, the signal
measured will always be non-zero, so we can use
these numbers to calculate fold-change regardless
of the "present" or "absent" call. You are right
to throw out only those genes that are called
"absent" in all samples, but for the rest of the
genes, the "present/absent" metric is not good
enough to categorize "off" versus "on" genes, so
we just use the numbers measured, calculate
fold-changes and do statistical tests. Hopefully
the reviewer will be satisfied with an explanation of this sort.
Good luck,
Jenny
At 09:39 AM 4/6/2011, Seraya Maouche wrote:
>Dear Jim, dear Wei,
>Thanks for your help, it is not a two color analysis, it is Illumina.
>
>Best wishes
>seraya
>
>-----Original Message-----
>From: James W. MacDonald [mailto:jmacdon at med.umich.edu]
>Sent: Mittwoch, 6. April 2011 15:55
>To: Wei Shi
>Cc: Seraya Maouche; Bioconductor at r-project.org
>Subject: Re: [BioC] Limma
>
>Hi Wei,
>
>I think you misunderstood the OP. Seraya _didn't_ remove genes that were
>only present in one condition. The problem is that the reviewer didn't like
>ratios with a zero in the denominator, which is a fair complaint.
>
>I don't do two color analyses, so don't know what the consensus is for
>handling logratios where the denominator is really close to zero. Since you
>guys do this stuff all the time, perhaps you have some pointers?
>
>Best,
>
>Jim
>
>
>
>On 4/5/2011 6:43 PM, Wei Shi wrote:
> > Hi Seraya:
> >
> > Genes which are present in one condition but not in the other should
>NOT be removed from your analysis. Only those gene which are absent in both
>conditions should be filtered out to improve the power to detect
>differentially expressed genes. It is very likely that a lot of genes of
>biological interest were not included in your analysis results due to the
>removal of genes which are present in one condition but not in the other.
>Have a look at the case study for processing Illumina BeadChip data in limma
>user guide about the probe filtering.
> >
> > Hope this helps.
> >
> > Cheers,
> > Wei
> >
> > On Apr 6, 2011, at 2:05 AM, Seraya Maouche wrote:
> >
> >> Dear Prof Gordon, dear Bioconductor members,
> >>
> >> I have performed gene expression analysis using Limma (Illumina human
> >> ref8) comparing two types of cells (referred below as cond1 and cond2).
> >> Based on detection call, I filtered out transcripts which are absent
> >> in both types of cells. Transcripts which were expressed only in one
> >> cell type were included in the analysis.
> >>
> >> I have received the comment below from a reviewer who seems not agree
> >> to calculate fold change for genes expressed only in one condition.
> >> Would it be possible to have your opinion about this.
> >>
> >> Thank you in advance for your time,
> >> S Maouche
> >>
> >> "There is a little conceptual difficulty related to the cond1/cond2
> >> comparisons for genes that are considered not detected. If a gene
> >> product is absent (0) in one cell then no fold change can be computed
> >> (table 2). I dont know how to circumvent this difficult except by
> >> saying that the noise is considered to reflect low expression. The
> >> terms not detected and not expressed are often used
> >> interchangeably while this is not the same. Detection is based on the
> >> definition adopted and in many places of the manuscript it should be
> >> used in place of expression."
> >>
> >>
> >>
> >> Universitätsklinikum Schleswig-Holstein Rechtsfähige Anstalt des
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>--
>James W. MacDonald, M.S.
>Biostatistician
>Douglas Lab
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