Limma:Single Channel Normalization for two color Arrays
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Binita Dutta ▴ 100
@binita-dutta-622
Last seen 10.2 years ago
Dear All, I have done single channel normalization for 8 arrays. Sl.No. Slide.Name Cy5 Cy3 1 1 2003110429 J 2 0min J2 30min 2 2 2003110430 J2 0min J3 0min 3 3 2003110431 J2 30min J3 30min 4 4 2003110432 J3 0min J3 30min 5 5 2003110433 J2 30min J2 0min 6 6 2003110434 J3 0min J2 0min 7 7 2003110435 J3 30min J2 30min 8 8 2003110436 J3 30min J3 0min Can we used the normalized intensities (red and green channel) instead of normalized MA, to determine differentially expressed genes with design matrix similar to what we use for analysis for Affymetrix data. I have been unable to export normalized Green and Red channel intensities. However, when i use following commands, I get M and A values. write.table(MA.p$A,file="h:\\r\\Exp200\\single channel nor A.txt", append = FALSE, sep = "\t", eol="\n", na="NA", dec="") write.table(MA.p$M,file="h:\\r\\Exp200\\single channel nor M.txt", append = FALSE, sep = "\t", eol="\n", na="NA", dec=""). Please suggest me how can i export normalized red and green channel intesities. I have other experiments to analyse and would like to use single channel normalization. Thanks in advance Binita ============================== Binita Dutta, PhD MicroArray Facility(MAF) UZ Gasthuisberg Onderwijs en Navorsing Herestraat 49 3000 Leuven Belgium
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@sean-davis-490
Last seen 3 months ago
United States
Binita, I hope Gordon Smyth doesn't mind my quoting him (from a previous response to the same question): "...On reading your question again, I'm guessing that you're wanting the normalized single-channel red and green intensities. Is this right? If so, you can get them from RG <- RG.MA(MA) (see the last section of the Limma User's Guide) where MA is the normalized MAList object, then write RG$R and RG$G to file. Or possibly form cbind(RG$G,RG$R) and write that to one file...." There are multiple other responses to the list in the past regarding transforming MA back to RG. Hope this helps. Sean On 6/30/04 4:56 AM, "Binita Dutta" <binita.dutta@vib.be> wrote: > Dear All, > > I have done single channel normalization for 8 arrays. > > Sl.No. Slide.Name Cy5 Cy3 > 1 1 2003110429 J 2 0min J2 30min > 2 2 2003110430 J2 0min J3 0min > 3 3 2003110431 J2 30min J3 30min > 4 4 2003110432 J3 0min J3 30min > 5 5 2003110433 J2 30min J2 0min > 6 6 2003110434 J3 0min J2 0min > 7 7 2003110435 J3 30min J2 30min > 8 8 2003110436 J3 30min J3 0min > > Can we used the normalized intensities (red and green channel) instead of > normalized MA, to determine differentially expressed genes with design > matrix similar to what we use for analysis for Affymetrix data. > > I have been unable to export normalized Green and Red channel intensities. > > However, when i use following commands, I get M and A values. > > > write.table(MA.p$A,file="h:\\r\\Exp200\\single channel nor A.txt", append > = FALSE, sep = "\t", eol="\n", na="NA", dec="") > write.table(MA.p$M,file="h:\\r\\Exp200\\single channel nor M.txt", append > = FALSE, sep = "\t", eol="\n", na="NA", dec=""). > > Please suggest me how can i export normalized red and green channel > intesities. > > > I have other experiments to analyse and would like to use single channel > normalization. > > Thanks in advance > > Binita > > > > ============================== > > Binita Dutta, PhD > MicroArray Facility(MAF) > UZ Gasthuisberg > Onderwijs en Navorsing > Herestraat 49 > 3000 Leuven > Belgium > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor >
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Hi, I shmelessly accept that I might be stupid by asking a simple question ( I am new to microarray data analysis) When you have done your experiment using Cy5 and Cy3 dyes then you might have used either cDNA or a long oligo chip. That means this is a two channel array. Then why do you want to normalize single channel. Is this a process of within array normalization or some bypass methods to avoid complexities. can you please let me know. Thank you. Ranga --- Sean Davis <sdavis2@mail.nih.gov> wrote: > Binita, > > I hope Gordon Smyth doesn't mind my quoting him > (from a previous response to > the same question): > > "...On reading your question again, I'm guessing > that you're wanting the > normalized single-channel red and green intensities. > Is this right? If so, > you can get them from > > RG <- RG.MA(MA) > > (see the last section of the Limma User's Guide) > where MA is the normalized > MAList object, then write RG$R and RG$G to file. Or > possibly form > cbind(RG$G,RG$R) and write that to one file...." > > There are multiple other responses to the list in > the past regarding > transforming MA back to RG. > > Hope this helps. > > Sean > > On 6/30/04 4:56 AM, "Binita Dutta" > <binita.dutta@vib.be> wrote: > > > Dear All, > > > > I have done single channel normalization for 8 > arrays. > > > > Sl.No. Slide.Name Cy5 Cy3 > > 1 1 2003110429 J 2 0min J2 30min > > 2 2 2003110430 J2 0min J3 0min > > 3 3 2003110431 J2 30min J3 30min > > 4 4 2003110432 J3 0min J3 30min > > 5 5 2003110433 J2 30min J2 0min > > 6 6 2003110434 J3 0min J2 0min > > 7 7 2003110435 J3 30min J2 30min > > 8 8 2003110436 J3 30min J3 0min > > > > Can we used the normalized intensities (red and > green channel) instead of > > normalized MA, to determine differentially > expressed genes with design > > matrix similar to what we use for analysis for > Affymetrix data. > > > > I have been unable to export normalized Green and > Red channel intensities. > > > > However, when i use following commands, I get M > and A values. > > > > > > write.table(MA.p$A,file="h:\\r\\Exp200\\single > channel nor A.txt", append > > = FALSE, sep = "\t", eol="\n", na="NA", dec="") > > write.table(MA.p$M,file="h:\\r\\Exp200\\single > channel nor M.txt", append > > = FALSE, sep = "\t", eol="\n", na="NA", dec=""). > > > > Please suggest me how can i export normalized red > and green channel > > intesities. > > > > > > I have other experiments to analyse and would like > to use single channel > > normalization. > > > > Thanks in advance > > > > Binita > > > > > > > > ============================== > > > > Binita Dutta, PhD > > MicroArray Facility(MAF) > > UZ Gasthuisberg > > Onderwijs en Navorsing > > Herestraat 49 > > 3000 Leuven > > Belgium > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@stat.math.ethz.ch > > > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor > > > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor >
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