Hi,
I'm using limma's voom function on a (human) RNAseq dataset (regular
transcript based count matrix). When I do an MDS plot on the input
count matrix, all looks "normal". When I do the same plot on the
output log CPM matrix (E), the samples (N=329) cluster strongly into
two groups of about equal size. This happens no matter how I run voom
(with or without design matrix, passing count matrix and adjusted lib
sizes, or DGE obj).
Thanks, Ina
Hi,
I'm using limma's voom function on a (human) RNAseq dataset (regular
transcript based count matrix). When I do an MDS plot on the input
count matrix, all looks "normal". When I do the same plot on the
output log CPM matrix (E), the samples (N=329) cluster strongly into
two groups of about equal size. This happens no matter how I run voom
(with or without design matrix, passing count matrix and adjusted lib
sizes, or DGE obj).
Thanks, Ina
Dear Ina
thanks. The problem report is a little unspecific? I presume that the
people who could respond to this would need to know
- the exact code you are running
- version numbers (sessionInfo)
- the plots that you are getting
- (ideally and I am not sure it's needed although it doesn't harm) the
offending data, in anonymised form.
Best wishes
Wolfgang
On 11 Jul 2013, at 22:21, Ina Hoeschele <inah at="" vbi.vt.edu=""> wrote:
> Hi,
> I'm using limma's voom function on a (human) RNAseq dataset
(regular transcript based count matrix). When I do an MDS plot on the
input count matrix, all looks "normal". When I do the same plot on the
output log CPM matrix (E), the samples (N=329) cluster strongly into
two groups of about equal size. This happens no matter how I run voom
(with or without design matrix, passing count matrix and adjusted lib
sizes, or DGE obj).
> Thanks, Ina
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives:
http://news.gmane.org/gmane.science.biology.informatics.conductor
Dear Ina
thanks. The problem report is a little unspecific? I presume that the
people who could respond to this would need to know
- the exact code you are running
- version numbers (sessionInfo)
- the plots that you are getting
- (ideally and I am not sure it's needed although it doesn't harm) the
offending data, in anonymised form.
Best wishes
Wolfgang
On 11 Jul 2013, at 22:21, Ina Hoeschele <inah at="" vbi.vt.edu=""> wrote:
> Hi,
> I'm using limma's voom function on a (human) RNAseq dataset
(regular transcript based count matrix). When I do an MDS plot on the
input count matrix, all looks "normal". When I do the same plot on the
output log CPM matrix (E), the samples (N=329) cluster strongly into
two groups of about equal size. This happens no matter how I run voom
(with or without design matrix, passing count matrix and adjusted lib
sizes, or DGE obj).
> Thanks, Ina
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives:
http://news.gmane.org/gmane.science.biology.informatics.conductor
thanks, Wolfgang, I realize that. I did not have time yesterday but
will do some more investigating myself today and if nothing shows up I
will provide code etc..
Ina
----- Original Message -----
From: "Wolfgang Huber" <whuber@embl.de>
To: "Ina Hoeschele" <inah at="" vbi.vt.edu="">
Cc: "bioconductor" <bioconductor at="" stat.math.ethz.ch="">, "Bioconductor
mailing list" <bioconductor at="" r-project.org="">
Sent: Friday, July 12, 2013 9:39:23 AM
Subject: Re: [BioC] voom
Dear Ina
thanks. The problem report is a little unspecific? I presume that the
people who could respond to this would need to know
- the exact code you are running
- version numbers (sessionInfo)
- the plots that you are getting
- (ideally and I am not sure it's needed although it doesn't harm) the
offending data, in anonymised form.
Best wishes
Wolfgang
On 11 Jul 2013, at 22:21, Ina Hoeschele <inah at="" vbi.vt.edu=""> wrote:
> Hi,
> I'm using limma's voom function on a (human) RNAseq dataset
(regular transcript based count matrix). When I do an MDS plot on the
input count matrix, all looks "normal". When I do the same plot on the
output log CPM matrix (E), the samples (N=329) cluster strongly into
two groups of about equal size. This happens no matter how I run voom
(with or without design matrix, passing count matrix and adjusted lib
sizes, or DGE obj).
> Thanks, Ina
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives:
http://news.gmane.org/gmane.science.biology.informatics.conductor
thanks, Wolfgang, I realize that. I did not have time yesterday but
will do some more investigating myself today and if nothing shows up I
will provide code etc..
Ina
----- Original Message -----
From: "Wolfgang Huber" <whuber@embl.de>
To: "Ina Hoeschele" <inah at="" vbi.vt.edu="">
Cc: "bioconductor" <bioconductor at="" stat.math.ethz.ch="">, "Bioconductor
mailing list" <bioconductor at="" r-project.org="">
Sent: Friday, July 12, 2013 9:39:23 AM
Subject: Re: [BioC] voom
Dear Ina
thanks. The problem report is a little unspecific? I presume that the
people who could respond to this would need to know
- the exact code you are running
- version numbers (sessionInfo)
- the plots that you are getting
- (ideally and I am not sure it's needed although it doesn't harm) the
offending data, in anonymised form.
Best wishes
Wolfgang
On 11 Jul 2013, at 22:21, Ina Hoeschele <inah at="" vbi.vt.edu=""> wrote:
> Hi,
> I'm using limma's voom function on a (human) RNAseq dataset
(regular transcript based count matrix). When I do an MDS plot on the
input count matrix, all looks "normal". When I do the same plot on the
output log CPM matrix (E), the samples (N=329) cluster strongly into
two groups of about equal size. This happens no matter how I run voom
(with or without design matrix, passing count matrix and adjusted lib
sizes, or DGE obj).
> Thanks, Ina
>
> _______________________________________________
> Bioconductor mailing list
> Bioconductor at r-project.org
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives:
http://news.gmane.org/gmane.science.biology.informatics.conductor