Artifact in RMA-normalized data
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Mary Putt ▴ 40
@mary-putt-356
Last seen 10.3 years ago
Hi, I normalized the data from 13 arrays (6 group H and 7 group P) using rma. I found that the arrays from my H group were systematically lower than from the P group at the lower end of the expression scale, while my arrays from the H group were higher than the arrays from the P group at the high end of the scale. The differences are subtle but they show up in the MVA plots, as well as in the summary statistics seen below. I had a Warning message from Affy during the normalization. It doesn't seem to me that RMA should introduce this type of artifact--unless there's something about the warning message that I don't understand. I'm wondering if anyone has insights on this. Thanks Mary ######## #Program to normalize the data ############ library(affy) load('all.Rdata') allnorm<-expresso(alldata, bgcorrect.method='rma', normalize.method='quantiles.robus', pmcorrect.method='pmonly', summary.method='me dianpolish') exprs.allnorm<-exprs(allnorm) save(exprs.allnorm, file='exprs.allnorm.Rdata') ######### #Warning msg following normalization ############ #> source('expresso.all.r') #background correction: rma #normalization: quantiles.robus #PM/MM correction : pmonly #expression values: medianpolish #background correcting...done. #normalizing...Chip weights are 1 1 1 1 1 1 0 1 1 1 1 1 1 1 #Chip weights are 1 1 1 1 1 1 1 1 0 1 1 1 1 1 #done. #22283 ids to be processed #......... #Warning messages: #1: the condition has length > 1 and only the first element will be used in: if (remove.extreme == "variance") { #2: the condition has length > 1 and only the first element will be used in: if (remove.extreme == "mean") { #3: the condition has length > 1 and only the first element will be used in: if (remove.extreme == "both") { #4: the condition has length > 1 and only the first element will be used in: if (remove.extreme == "variance") { #5: the condition has length > 1 and only the first element will be used in: if (remove.extreme == "mean") { #6: the condition has length > 1 and only the first element will be used in: if (remove.extreme == "both") { ##################### #descriptive statistics of normalized data # #note that h and p are different groups ################## > > summary h1 h2 h3 h4 h5 h6 p1 p2 p3 p4 Min 2.997 3.008 3.051 3.010 2.967 3.005 3.123 3.057 3.119 3.102 1stQrtl 4.719 4.679 4.762 4.739 4.771 4.771 4.895 4.717 4.926 4.891 Median 5.924 5.901 5.950 5.970 5.970 5.961 6.015 5.942 6.015 6.018 Mean 6.165 6.143 6.150 6.171 6.182 6.178 6.167 6.163 6.172 6.162 3rdQrtl 7.291 7.300 7.266 7.358 7.316 7.288 7.201 7.281 7.216 7.224 Max 13.310 13.620 13.760 13.800 13.660 13.660 13.800 13.790 13.670 13.660 p5 p6 p7 Min 3.121 3.017 3.041 1stQrtl 4.938 4.829 4.835 Median 6.031 5.993 6.015 Mean 6.172 6.166 6.168 >apply(summary[,1:6], 1, median) Min 1stQrtl Median Mean 3rdQrtl Max 3.0065 4.7505 5.9555 6.1680 7.2955 13.6600 > apply(summary[,7:13], 1, median) Min 1stQrtl Median Mean 3rdQrtl Max 3.102 4.891 6.015 6.167 7.220 13.660 > apply(summary[,1:6], 1, mean) Min 1stQrtl Median Mean 3rdQrtl Max 3.006333 4.740167 5.946000 6.164833 7.303167 13.635000 > apply(summary[,7:13], 1, mean) Min 1stQrtl Median Mean 3rdQrtl Max 3.082857 4.861571 6.004143 6.167143 7.227143 13.602857 -- Mary E. Putt Assistant Professor of Biostatistics Department of Biostatistics and Epidemiology Center for Biostatistics and Epidemiology School of Medicine, University of Pennsylvania, 621 Blockley Hall 423 Guardian Drive Philadelphia, PA 19104-6021 Ph. (215) 573-7020 Fax (215) 573-4865
Normalization affy Normalization affy • 880 views
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@rafael-a-irizarry-205
Last seen 10.3 years ago
try it again using the default version of rma... quantiles instaed of quantiles.robus > allnorm<-expresso(alldata, bgcorrect.method='rma', > normalize.method='quantiles', pmcorrect.method='pmonly', > summary.method='me > dianpolish') On Thu, 4 Mar 2004, Mary Putt wrote: > Hi, > I normalized the data from 13 arrays (6 group H and 7 group P) using > rma. I found that the arrays from my H group were systematically lower > than from the P group at the lower end of the expression scale, while my > arrays from the H group were higher than the arrays from the P group at > the high end of the scale. The differences are subtle but they show up > in the MVA plots, as well as in the summary statistics seen below. I had > a Warning message from Affy during the normalization. It doesn't seem to > me that RMA should introduce this type of artifact--unless there's > something about the warning message that I don't understand. I'm > wondering if anyone has insights on this. Thanks Mary > > ######## > #Program to normalize the data > ############ > > library(affy) > load('all.Rdata') > exprs.allnorm<-exprs(allnorm) > allnorm<-expresso(alldata, bgcorrect.method='rma', > normalize.method='quantiles.robus', pmcorrect.method='pmonly', > summary.method='me > dianpolish') > save(exprs.allnorm, file='exprs.allnorm.Rdata') > ######### > #Warning msg following normalization > ############ > > #> source('expresso.all.r') > #background correction: rma > #normalization: quantiles.robus > #PM/MM correction : pmonly > #expression values: medianpolish > #background correcting...done. > #normalizing...Chip weights are 1 1 1 1 1 1 0 1 1 1 1 1 1 1 > #Chip weights are 1 1 1 1 1 1 1 1 0 1 1 1 1 1 > #done. > #22283 ids to be processed > #......... > #Warning messages: > #1: the condition has length > 1 and only the first element will be used > in: if (remove.extreme == "variance") { > #2: the condition has length > 1 and only the first element will be used > in: if (remove.extreme == "mean") { > #3: the condition has length > 1 and only the first element will be used > in: if (remove.extreme == "both") { > #4: the condition has length > 1 and only the first element will be used > in: if (remove.extreme == "variance") { > #5: the condition has length > 1 and only the first element will be used > in: if (remove.extreme == "mean") { > #6: the condition has length > 1 and only the first element will be used > in: if (remove.extreme == "both") { > > ##################### > #descriptive statistics of normalized data > # > #note that h and p are different groups > ################## > > > > summary > h1 h2 h3 h4 h5 h6 p1 p2 > p3 p4 > Min 2.997 3.008 3.051 3.010 2.967 3.005 3.123 3.057 3.119 > 3.102 > 1stQrtl 4.719 4.679 4.762 4.739 4.771 4.771 4.895 4.717 4.926 > 4.891 > Median 5.924 5.901 5.950 5.970 5.970 5.961 6.015 5.942 6.015 > 6.018 > Mean 6.165 6.143 6.150 6.171 6.182 6.178 6.167 6.163 6.172 > 6.162 > 3rdQrtl 7.291 7.300 7.266 7.358 7.316 7.288 7.201 7.281 7.216 > 7.224 > Max 13.310 13.620 13.760 13.800 13.660 13.660 13.800 13.790 13.670 > 13.660 > p5 p6 p7 > Min 3.121 3.017 3.041 > 1stQrtl 4.938 4.829 4.835 > Median 6.031 5.993 6.015 > Mean 6.172 6.166 6.168 > > >apply(summary[,1:6], 1, median) > Min 1stQrtl Median Mean 3rdQrtl Max > 3.0065 4.7505 5.9555 6.1680 7.2955 13.6600 > > apply(summary[,7:13], 1, median) > Min 1stQrtl Median Mean 3rdQrtl Max > 3.102 4.891 6.015 6.167 7.220 13.660 > > apply(summary[,1:6], 1, mean) > Min 1stQrtl Median Mean 3rdQrtl Max > 3.006333 4.740167 5.946000 6.164833 7.303167 13.635000 > > apply(summary[,7:13], 1, mean) > Min 1stQrtl Median Mean 3rdQrtl Max > 3.082857 4.861571 6.004143 6.167143 7.227143 13.602857 > > > > > -- > Mary E. Putt > Assistant Professor of Biostatistics > Department of Biostatistics and Epidemiology > Center for Biostatistics and Epidemiology > School of Medicine, University of Pennsylvania, > 621 Blockley Hall > 423 Guardian Drive > Philadelphia, PA > 19104-6021 > > Ph. (215) 573-7020 > Fax (215) 573-4865 > > _______________________________________________ > Bioconductor mailing list > Bioconductor@stat.math.ethz.ch > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor >
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