Variability Plot For Toray Microarray Data
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@peverall-dubois-5731
Last seen 10.3 years ago
Is there any package that allow you to perform "MA plot" like graph for Toray microarray data? Unlike Affymetrix CEL file which contain 2 values (R and G), Torray raw data only contain 1 value. MA-plot is Affymetrix specific which usually available for in (limma) package. P. Dubois [[alternative HTML version deleted]]
Microarray Microarray • 740 views
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@steve-lianoglou-2771
Last seen 22 months ago
United States
Hi Peverall, On Mon, Jan 28, 2013 at 7:34 PM, Peverall Dubois <peveralldubois at="" gmail.com=""> wrote: > Is there any package that allow you to perform "MA plot" like graph > for Toray microarray data? > > > Unlike Affymetrix CEL file which contain 2 values (R and G), > Torray raw data only contain 1 value. Actually, affy chips are not two color arrays (R and G, aka "red" and "green"), they are also "1 color" arrays like I guess the Toray is (disclaimer: this is the first time of heard of a toray, so I have no idea what makes a torray a toray). Are the two values you are referring to on an affy chip the "perfect match" and "mismatch" probes, maybe? If so, you should know that most people don't really use the info from the mismatch probes these days ... RMA, for instance, only uses information from perfect match probes. > MA-plot is Affymetrix specific which usually available for in (limma) > package. The two values that are averaged and "log-fold-changed" in an MA plot for affy arrays array always from datasets that have 2+ arrays. These statistics are either generated across replicates (so 1 array vs another), or sometimes 1 array vs a pseudo-array, which might be the mean expression of the probes across your samples. All this having been said, I have no idea if anyone has rigged up support for toray microarrays in bioconductor-land. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact
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Dear Steve, Thanks for your reply. The two values that are averaged and "log-fold-changed" in an MA plot > for affy arrays array always from datasets that have 2+ arrays. These > statistics are either generated across replicates (so 1 array vs > another), or sometimes 1 array vs a pseudo-array, which might be the > mean expression of the probes across your samples. > > Let say I have 4 vectors. v1.norm v2.norm v1.raw v2.raw Later I want to compare the differential expression between v1 and v2. So I want to know whether the normalization I did is acceptable, using MA plot. Does MA plot for (v1.norm and v2.norm) still valid? Sincerely, Edward > > -steve > > -- > Steve Lianoglou > Graduate Student: Computational Systems Biology > | Memorial Sloan-Kettering Cancer Center > | Weill Medical College of Cornell University > Contact Info: http://cbio.mskcc.org/~lianos/contact > > _______________________________________________ > 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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Hello Peverall, Gundalla, and Edward, Out of curiosity: are you all the same person? On Wed, Jan 30, 2013 at 8:54 AM, Gundala Viswanath <gundalav at="" gmail.com=""> wrote: > > Dear Steve, > > Thanks for your reply. > > >> The two values that are averaged and "log-fold-changed" in an MA plot >> for affy arrays array always from datasets that have 2+ arrays. These >> statistics are either generated across replicates (so 1 array vs >> another), or sometimes 1 array vs a pseudo-array, which might be the >> mean expression of the probes across your samples. >> > > Let say I have 4 vectors. > > v1.norm > v2.norm > > v1.raw > v2.raw > > Later I want to compare the differential expression between v1 and v2. > So I want to know whether the normalization I did is acceptable, using MA > plot. > > Does MA plot for (v1.norm and v2.norm) still valid? If you're still stuck with no replicates between conditions, I'm not sure how to assess whether one normalization technique is better than the other. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact
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