Normalizing a dataset from GEO to suit a classifier trained on another dataset
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@guest-user-4897
Last seen 10.2 years ago
Hi, I have a built a classifier on a set of my own microarray data. I would like to be able to show that it works on new data, by taking some from GEO (same tissue, same array platform etc) and classifying that. However, the probe values in the new datasets are offset compared to those in my original dataset, presumably because of differences in how they were normalised. Is there a way to normalize datasets taken from GEO so that they are normalized with respect to an existing dataset? Thanks -- output of sessionInfo(): - -- Sent via the guest posting facility at bioconductor.org.
Microarray probe Microarray probe • 1.2k views
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@matthew-mccall-4459
Last seen 5.5 years ago
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Nathan, Take a look at the frma package and paper: McCall MN, Bolstad BM, and Irizarry RA* (2010). Frozen Robust Multi-Array Analysis (fRMA), Biostatistics, 11(2):242-253. Best, Matt On Sun, Apr 14, 2013 at 10:40 AM, Nathan Skene [guest] <guest at="" bioconductor.org=""> wrote: > > Hi, > > I have a built a classifier on a set of my own microarray data. > > I would like to be able to show that it works on new data, by taking some from GEO (same tissue, same array platform etc) and classifying that. > > However, the probe values in the new datasets are offset compared to those in my original dataset, presumably because of differences in how they were normalised. > > Is there a way to normalize datasets taken from GEO so that they are normalized with respect to an existing dataset? > > Thanks > > > -- output of sessionInfo(): > > - > > -- > Sent via the guest posting facility at bioconductor.org. > > _______________________________________________ > 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 -- Matthew N McCall, PhD 112 Arvine Heights Rochester, NY 14611 Cell: 202-222-5880
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Hi Matt, That looks like exactly the thing... but it wouldn't work on Illumina, right? RMA is Affy only? Thanks, Nathan On 14 April 2013 16:43, Matthew McCall <mccallm@gmail.com> wrote: > Nathan, > > Take a look at the frma package and paper: > McCall MN, Bolstad BM, and Irizarry RA* (2010). Frozen Robust > Multi-Array Analysis (fRMA), Biostatistics, 11(2):242-253. > > Best, > Matt > > > > On Sun, Apr 14, 2013 at 10:40 AM, Nathan Skene [guest] > <guest@bioconductor.org> wrote: > > > > Hi, > > > > I have a built a classifier on a set of my own microarray data. > > > > I would like to be able to show that it works on new data, by taking > some from GEO (same tissue, same array platform etc) and classifying that. > > > > However, the probe values in the new datasets are offset compared to > those in my original dataset, presumably because of differences in how they > were normalised. > > > > Is there a way to normalize datasets taken from GEO so that they are > normalized with respect to an existing dataset? > > > > Thanks > > > > > > -- output of sessionInfo(): > > > > - > > > > -- > > Sent via the guest posting facility at bioconductor.org. > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@r-project.org > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > > > > -- > Matthew N McCall, PhD > 112 Arvine Heights > Rochester, NY 14611 > Cell: 202-222-5880 > [[alternative HTML version deleted]]
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