how to save the expression values for two color data after normalization
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@budhayash-gautam-4134
Last seen 10.2 years ago
Dear all i am working on some smd data which is basically two color data. i have normalize the data by the following command > dat2<-normalizeWithinArrays(dat, method="loess","normexp", offset=50) but as now i am trying to save its expression values by the following command its is not giving any genes names with respect to rows without which further analysis (annotation etc ) could not be done . > dat.m<-dat2$M > rownames(dat.m)<-dat2$genes$ProbeName > write.table(dat.m, "tgondiiexpressionvalues.txt", sep="\t", row.names=T, col.names=T, quote=F) and if i am trying ... > rownames(dat.m) <-dat2$genes following error is coming ..... Error in dimnames(x) <- dn : length of 'dimnames' [1] not equal to array extent As i am very new to bioconductor and R problem may be very small but for me it is too big...... thus please help me to solve this please help me in the creation of proper matrix for the further analysis. -- BUDHAYASH GAUTAM Assistant Professor Department Of Computational Biology And Bioinformatics, Jacob School of Biotechnology & Bioengineering (JSBB) Sam Higginbottom Institute of Agriculture, Technology and Sciences (SHIATS)- Deemed University, Naini, Allahabad. U.P. 211007
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@steve-lianoglou-2771
Last seen 21 months ago
United States
Hi, On Mon, Sep 27, 2010 at 7:09 AM, Budhayash Gautam <budhayashgautam at="" gmail.com=""> wrote: > Dear all > > i am working on some smd data which is basically two color data. i > have normalize the data by the following command > > >> dat2<-normalizeWithinArrays(dat, method="loess","normexp", offset=50) > > but as now i am trying to save its expression values by the following > command its is not giving any genes names with respect to rows without > which further analysis (annotation etc ) could not be done . > >> dat.m<-dat2$M >> rownames(dat.m)<-dat2$genes$ProbeName >> write.table(dat.m, "tgondiiexpressionvalues.txt", sep="\t", row.names=T, col.names=T, quote=F) This gives you probe id's, right? You can "reverse engineer" which probes map to which genes using several methods. Depending on the array you are using, one way would be to query biomart (using the biomaRt bioc package) for a list of probe id's for your chip and have it return the probe id & the gene symbol, or entrez id, or whatever you like. Another way would be to use one of the many annotation packages available from bioconductor. >> rownames(dat.m) <-dat2$genes > > following error is coming ..... > > Error in dimnames(x) <- dn : > ?length of 'dimnames' [1] not equal to array extent That's because the number of rows in your `dat.m` matrix does not equal the length of your dat2$genes vector, so R can't make much sense of the assignment you are trying to make. Look at the result of: R> nrow(dat.m) == length(dat2$genes) Where did you get the dat2$genes vector? Perhaps you can show us what you get from: R> head(dat2$genes) is it possible that the probe id's are the names() of this vector? That could make your life a bit easier. -- 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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dat2$genes is probably a data.frame or matrix, not a vector On 28/09/2010, at 12:03 AM, Steve Lianoglou wrote: > Hi, > > On Mon, Sep 27, 2010 at 7:09 AM, Budhayash Gautam > <budhayashgautam at="" gmail.com=""> wrote: >> Dear all >> >> i am working on some smd data which is basically two color data. i >> have normalize the data by the following command >> >> >>> dat2<-normalizeWithinArrays(dat, method="loess","normexp", offset=50) >> >> but as now i am trying to save its expression values by the following >> command its is not giving any genes names with respect to rows without >> which further analysis (annotation etc ) could not be done . >> >>> dat.m<-dat2$M >>> rownames(dat.m)<-dat2$genes$ProbeName >>> write.table(dat.m, "tgondiiexpressionvalues.txt", sep="\t", row.names=T, col.names=T, quote=F) > > This gives you probe id's, right? You can "reverse engineer" which > probes map to which genes using several methods. Depending on the > array you are using, one way would be to query biomart (using the > biomaRt bioc package) for a list of probe id's for your chip and have > it return the probe id & the gene symbol, or entrez id, or whatever > you like. > > Another way would be to use one of the many annotation packages > available from bioconductor. > >>> rownames(dat.m) <-dat2$genes >> >> following error is coming ..... >> >> Error in dimnames(x) <- dn : >> length of 'dimnames' [1] not equal to array extent > > That's because the number of rows in your `dat.m` matrix does not > equal the length of your dat2$genes vector, so R can't make much sense > of the assignment you are trying to make. > > Look at the result of: > > R> nrow(dat.m) == length(dat2$genes) > > Where did you get the dat2$genes vector? Perhaps you can show us what > you get from: > > R> head(dat2$genes) > > is it possible that the probe id's are the names() of this vector? > That could make your life a bit easier. > > -- > Steve Lianoglou > Graduate Student: Computational Systems Biology > | Memorial Sloan-Kettering Cancer Center > | Weill Medical College of Cornell University > Contact Info: http://cbio.mskcc.org/~lianos/contact > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
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@budhayash-gautam-4134
Last seen 10.2 years ago
hello everyone lots of thanks to all of u to help me by giving Ur precious suggestions. On Mon, Sep 27, 2010 at 4:39 PM, Budhayash Gautam <budhayashgautam at="" gmail.com=""> wrote: > Dear all > > i am working on some smd data which is basically two color data. i > have normalize the data by the following command > > >> dat2<-normalizeWithinArrays(dat, method="loess","normexp", offset=50) > > but as now i am trying to save its expression values by the following > command its is not giving any genes names with respect to rows without > which further analysis (annotation etc ) could not be done . > >> dat.m<-dat2$M >> rownames(dat.m)<-dat2$genes$ProbeName >> write.table(dat.m, "tgondiiexpressionvalues.txt", sep="\t", row.names=T, col.names=T, quote=F) > > > and if i am trying ... > >> rownames(dat.m) <-dat2$genes > > > following error is coming ..... > > Error in dimnames(x) <- dn : > ?length of 'dimnames' [1] not equal to array extent > > > As i am very new to bioconductor and R problem may be very small but > for me it is too big...... > > thus please help me to solve this > > please help me in the creation of proper matrix for the further analysis. > > > -- > BUDHAYASH GAUTAM > Assistant Professor > Department Of Computational Biology And Bioinformatics, > Jacob School of Biotechnology & Bioengineering (JSBB) > Sam Higginbottom Institute of Agriculture, Technology and Sciences > (SHIATS)- Deemed University, Naini, Allahabad. > U.P. 211007 > -- BUDHAYASH GAUTAM Assistant Professor Department Of Computational Biology And Bioinformatics, Jacob School of Biotechnology & Bioengineering (JSBB) Sam Higginbottom Institute of Agriculture, Technology and Sciences (SHIATS)- Deemed University, Naini, Allahabad. U.P. 211007
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