combine two microarray datasets based on affymatrix and cDNA array
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Hi, I am trying to intermingle two timeseries expression data from two different platform (affymatrix and cDNA array).To follow a common index system, I mapped the probesets and cDNA clones (from above given platforms, respectively) to unique entrez Ids. Only common Ids are retained (~7500). How can I integrate or compare these two datasets together at intensity level? -- output of sessionInfo(): R version 2.15.2 (2012-10-26) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_IN [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_IN LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C [10] LC_TELEPHONE=C LC_MEASUREMENT=en_IN LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base -- Sent via the guest posting facility at bioconductor.org.
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@sean-davis-490
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What is the experimental design on the two platforms? What comparisons do you want to make? On Mar 10, 2013 1:57 PM, "Avinash [guest]" <guest@bioconductor.org> wrote: > > Hi, > I am trying to intermingle two timeseries expression data from two > different platform (affymatrix and cDNA array).To follow a common index > system, I mapped the probesets and cDNA clones (from above given platforms, > respectively) to unique entrez Ids. Only common Ids are retained (~7500). > How can I integrate or compare these two datasets together at intensity > level? > > > -- output of sessionInfo(): > > > R version 2.15.2 (2012-10-26) > Platform: x86_64-pc-linux-gnu (64-bit) > > locale: > [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_IN > [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_IN > LC_MESSAGES=en_US.UTF-8 > [7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C > [10] LC_TELEPHONE=C LC_MEASUREMENT=en_IN LC_IDENTIFICATION=C > > attached base packages: > [1] stats graphics grDevices utils datasets methods base > > > -- > 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 > [[alternative HTML version deleted]]
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One dataset is from ATH1-affymatrix genechip and another from cDNA- array. Each dataset has 4 biological replicates at each time point (0hpi,24hpi). In total, there are 8 and 4 assays from above two platform respectively. In cDNA-array, common reference was labeled with Cy3 and Cy5 was used to label 0hpi or 24 hpi. I want to integrate these two datasets at raw intensity level and then do downstream analysis (normalization, batch effect removal, differential expression). -array On Mon, Mar 11, 2013 at 2:02 AM, Sean Davis <seandavi@gmail.com> wrote: > What is the experimental design on the two platforms? What comparisons do > you want to make? > On Mar 10, 2013 1:57 PM, "Avinash [guest]" <guest@bioconductor.org> wrote: > >> >> Hi, >> I am trying to intermingle two timeseries expression data from two >> different platform (affymatrix and cDNA array).To follow a common index >> system, I mapped the probesets and cDNA clones (from above given platforms, >> respectively) to unique entrez Ids. Only common Ids are retained (~7500). >> How can I integrate or compare these two datasets together at intensity >> level? >> >> >> -- output of sessionInfo(): >> >> >> R version 2.15.2 (2012-10-26) >> Platform: x86_64-pc-linux-gnu (64-bit) >> >> locale: >> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_IN >> [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_IN >> LC_MESSAGES=en_US.UTF-8 >> [7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C >> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_IN LC_IDENTIFICATION=C >> >> attached base packages: >> [1] stats graphics grDevices utils datasets methods base >> >> >> -- >> 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 >> > [[alternative HTML version deleted]]
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Hi, Avinash. You might try the virtualArray package. I have never used it, but it aims to solve problems such as yours. Sean On Mon, Mar 11, 2013 at 1:08 AM, avinash sethi <avicct at="" gmail.com=""> wrote: > One dataset is from ATH1-affymatrix genechip and another from cDNA- array. > Each dataset has 4 biological replicates at each time point (0hpi,24hpi). In > total, there are 8 and 4 assays from above two platform respectively. > In cDNA-array, common reference was labeled with Cy3 and Cy5 was used to > label 0hpi or 24 hpi. > I want to integrate these two datasets at raw intensity level and then do > downstream analysis (normalization, batch effect removal, differential > expression). > -array > > > On Mon, Mar 11, 2013 at 2:02 AM, Sean Davis <seandavi at="" gmail.com=""> wrote: >> >> What is the experimental design on the two platforms? What comparisons do >> you want to make? >> >> On Mar 10, 2013 1:57 PM, "Avinash [guest]" <guest at="" bioconductor.org=""> wrote: >>> >>> >>> Hi, >>> I am trying to intermingle two timeseries expression data from two >>> different platform (affymatrix and cDNA array).To follow a common index >>> system, I mapped the probesets and cDNA clones (from above given platforms, >>> respectively) to unique entrez Ids. Only common Ids are retained (~7500). >>> How can I integrate or compare these two datasets together at intensity >>> level? >>> >>> >>> -- output of sessionInfo(): >>> >>> >>> R version 2.15.2 (2012-10-26) >>> Platform: x86_64-pc-linux-gnu (64-bit) >>> >>> locale: >>> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_IN >>> [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_IN >>> LC_MESSAGES=en_US.UTF-8 >>> [7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C >>> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_IN LC_IDENTIFICATION=C >>> >>> attached base packages: >>> [1] stats graphics grDevices utils datasets methods base >>> >>> >>> -- >>> 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 > >
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