RMA XPS Problem on MoGene 1.0 ST
1
0
Entering edit mode
Zack Liu ▴ 20
@zack-liu-4288
Last seen 10.3 years ago
Dear members, I have encountered some problems using XPS library on Mouse Gene 1.0 ST arrays.. Basically, when I run rma on my cel files, the signal matrix only have 21 rows (probeset?) for all the samples. Has anybody here had the same problem before? ## Generate the Scheme file scmdir <- paste(.path.package("xps"),"schemes",sep="/") libdir <- "./Affy/libraryfiles" anndir <- "./Affy/Annotation" scheme.moge10stv1r4.na31 <- import.exon.scheme("Scheme_MoGe10stv1r4_na31", filedir=scmdir, layoutfile=paste(libdir, "MoGene-1_0-st-v1.r4.clf",sep="/"),schemefile=paste(libdir, "MoGene-1_0-st-v1.r4.pgf",sep="/"), probeset=paste(anndir, "MoGene-1_0-st-v1.na31.mm9.probeset.csv",sep="/"), transcript=paste(anndir,"MoGene- 1_0-st-v1.na31.mm9.transcript.csv",sep="/")) ### Generate the signal file celDir <- "./rawData/tissues/MoGene-1-0-st-v1/" celfiles <- c("001.CEL","002.CEL","003.CEL") celNames <- c("01","02","03") datdir <-"rootData" data.moge <- import.data(scheme.moge10stv1r4.na31,"mogene_glio",filedir= datdir,celdir=celDir,celfiles=celfiles,celnames =celNames,verbose=T) data.moge <- attachInten(data.moge) tmp <- intensity(data.moge) head(tmp) > dim(tmp) [1] 1102500 5 ### So far so good, I have #### Problem starts here data.rma <-rma(data.moge, "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="", option ="transcript", background="antigenomic",normalize=TRUE,exonlevel= "all",verbose=TRUE,xps.scheme=scheme.moge10stv1r4.na31) Creating new temporary file <rootdata tmp_mogene_glio_rma.root="">... Opening file </library> in <read> mode... Opening file <./rootData/mogene_glio_cel.root> in <read> mode... Added <3> trees to PreprocesSet. Preprocessing data using method <preprocess>... Background correcting raw data... setting selector mask for typepm <16316> calculating background for <01.cel>... background statistics: 1087986 cells with minimal intensity 0 970 cells with maximal intensity 84.8093 calculating background for <02.cel>... background statistics: 1087986 cells with minimal intensity 0 4596 cells with maximal intensity 82.8614 calculating background for <03.cel>... background statistics: 1087986 cells with minimal intensity 0 3018 cells with maximal intensity 71.3567 Normalizing raw data... normalizing data using method <quantile>... setting selector mask for typepm <16316> finished filling <3> arrays. computing common mean... finished filling <3> trees. Converting raw data to expression levels... summarizing with <medianpolish>... setting selector mask for typepm <16316> setting selector mask for typepm <16316> calculating expression for <21> of <35556> units...Finished. expression statistics: minimal expression level is <36.657> maximal expression level is <14222.3> preprocessing finished. Opening file </library> in <read> mode... Opening file <rootdata tmp_mogene_glio_rma.root=""> in <read> mode... Opening file <rootdata tmp_mogene_glio_rma.root=""> in <read> mode... Exporting data from tree <*> to file <rootdata tmp_mogene_glio_rma.txt="">... Reading entries from <mogene-1_0-st-v1.ann> ...Finished <21> of <21> records exported. > > > > dim(tmp) Error: object 'tmp' not found > > data.moge <- attachInten(data.moge) tmp <- intensity(data.moge) head(tmp) > tmp <- intensity(data.moge) > head(tmp) X Y 01.cel_MEAN 02.cel_MEAN 03.cel_MEAN 1 0 0 6213 8575 6339 2 1 0 105 198 126 3 2 0 6361 8720 6278 4 3 0 138 170 120 5 4 0 138 180 134 6 5 0 127 139 133 > > > > dim(tmp) [1] 1102500 5 > > > data.rma <-rma(data.moge, "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="",option ="transcript", background="antigenomic",normalize=TRUE,exonlevel="all",verbose=TRUE,x ps.scheme=scheme.moge10stv1r4.na31) Creating new temporary file <rootdata tmp_mogene_glio_rma.root="">... Opening file </library> in <read> mode... Opening file <rootdata mogene_glio_cel.root=""> in <read> mode... Added <3> trees to PreprocesSet. Preprocessing data using method <preprocess>... Background correcting raw data... setting selector mask for typepm <16316> calculating background for <01.cel>... background statistics: 1087986 cells with minimal intensity 0 970 cells with maximal intensity 84.8093 calculating background for <02.cel>... background statistics: 1087986 cells with minimal intensity 0 4596 cells with maximal intensity 82.8614 calculating background for <03.cel>... background statistics: 1087986 cells with minimal intensity 0 3018 cells with maximal intensity 71.3567 Normalizing raw data... normalizing data using method <quantile>... setting selector mask for typepm <16316> finished filling <3> arrays. computing common mean... finished filling <3> trees. Converting raw data to expression levels... summarizing with <medianpolish>... setting selector mask for typepm <16316> setting selector mask for typepm <16316> calculating expression for <21> of <35556> units...Finished. expression statistics: minimal expression level is <36.657> maximal expression level is <14222.3> preprocessing finished. Opening file </library> in <read> mode... Opening file <rootdata tmp_mogene_glio_rma.root=""> in <read> mode... Opening file <rootdata tmp_mogene_glio_rma.root=""> in <read> mode... Exporting data from tree <*> to file <rootdata tmp_mogene_glio_rma.txt="">... Reading entries from <mogene-1_0-st-v1.ann> ...Finished <21> of <21> records exported. > expr.rma <- validData(data.rma) > dim(expr.rma) [1] 21 3 ## only 21 records.... Can anyone help? Thank you! Zach Liu Genomics & Computational Biology Program Abramson Cancer Institute, School of Medicine University of Pennsylvania [[alternative HTML version deleted]]
Preprocessing Cancer xps Preprocessing Cancer xps • 1.2k views
ADD COMMENT
0
Entering edit mode
cstrato ★ 3.9k
@cstrato-908
Last seen 6.2 years ago
Austria
Dear Zack, Usually you get this result when you create the scheme file for MoGene using "import.genome.scheme" instead of using "import.exon.scheme", see e.g.: https://www.stat.math.ethz.ch/pipermail/bioconductor/2010-March/032353 .html However, it seems that you have created the scheme correctly. Thus could you please send me the output of: > str(scheme.moge10stv1r4.na31) Which version of the Affymetrix annotation files did you use to create "scheme.moge10stv1r4.na31"? You need to use the annotation files created on 09/08/10 and not the ones created on 08/30/10 since the older files have additional "control->affx" which are "neg_control". Another problem could be your code: > data.rma <-rma(data.moge, ...., xps.scheme=scheme.moge10stv1r4.na31) Since "xps.scheme" should only be used if you want to use alternative CDF-files for expression arrays, you should do: > data.rma <-rma(data.moge, ...., xps.scheme=NULL) Please send me: - your sessionInfo(), - the output of str(scheme.moge10stv1r4.na31), - the output of str(data.rma), and let me know - which annotation files you have used and - whether rma(.., xps.scheme=NULL) solves the problem. Best regards Christian _._._._._._._._._._._._._._._._._._ C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a V.i.e.n.n.a A.u.s.t.r.i.a e.m.a.i.l: cstrato at aon.at _._._._._._._._._._._._._._._._._._ On 10/11/10 5:07 PM, Zack Liu wrote: > Dear members, > > I have encountered some problems using XPS library on Mouse Gene 1.0 ST > arrays.. Basically, when I run rma on my cel files, the signal matrix only > have 21 rows (probeset?) for all the samples. Has anybody here had the same > problem before? > > ## Generate the Scheme file > > scmdir<- paste(.path.package("xps"),"schemes",sep="/") > > libdir<- "./Affy/libraryfiles" > > anndir<- "./Affy/Annotation" > > > scheme.moge10stv1r4.na31<- import.exon.scheme("Scheme_MoGe10stv1r4_na31", > filedir=scmdir, layoutfile=paste(libdir, > "MoGene-1_0-st-v1.r4.clf",sep="/"),schemefile=paste(libdir, > "MoGene-1_0-st-v1.r4.pgf",sep="/"), probeset=paste(anndir, > "MoGene-1_0-st-v1.na31.mm9.probeset.csv",sep="/"), > transcript=paste(anndir,"MoGene- 1_0-st-v1.na31.mm9.transcript.csv",sep="/")) > > > ### Generate the signal file > > > celDir<- "./rawData/tissues/MoGene-1-0-st-v1/" > > celfiles<- c("001.CEL","002.CEL","003.CEL") > > celNames<- c("01","02","03") > > datdir<-"rootData" > > > data.moge<- import.data(scheme.moge10stv1r4.na31,"mogene_glio",filedir= > datdir,celdir=celDir,celfiles=celfiles,celnames =celNames,verbose=T) > > > data.moge<- attachInten(data.moge) > > tmp<- intensity(data.moge) > > head(tmp) > >> dim(tmp) > > [1] 1102500 5 > > > ### So far so good, I have > > #### Problem starts here > > data.rma<-rma(data.moge, "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="", > option ="transcript", background="antigenomic",normalize=TRUE,exonlevel= > "all",verbose=TRUE,xps.scheme=scheme.moge10stv1r4.na31) > > > Creating new temporary file<rootdata tmp_mogene_glio_rma.root="">... > > Opening file > </library> > in<read> mode... > > Opening file<./rootData/mogene_glio_cel.root> in<read> mode... > > Added<3> trees to PreprocesSet. > > Preprocessing data using method<preprocess>... > > Background correcting raw data... > > setting selector mask for typepm<16316> > > calculating background for<01.cel>... > > background statistics: > > 1087986 cells with minimal intensity 0 > > 970 cells with maximal intensity 84.8093 > > calculating background for<02.cel>... > > background statistics: > > 1087986 cells with minimal intensity 0 > > 4596 cells with maximal intensity 82.8614 > > calculating background for<03.cel>... > > background statistics: > > 1087986 cells with minimal intensity 0 > > 3018 cells with maximal intensity 71.3567 > > Normalizing raw data... > > normalizing data using method<quantile>... > > setting selector mask for typepm<16316> > > finished filling<3> arrays. > > computing common mean... > > finished filling<3> trees. > > Converting raw data to expression levels... > > summarizing with<medianpolish>... > > setting selector mask for typepm<16316> > > setting selector mask for typepm<16316> > > calculating expression for<21> of<35556> units...Finished. > > expression statistics: > > minimal expression level is<36.657> > > maximal expression level is<14222.3> > > preprocessing finished. > > Opening file > </library> > in<read> mode... > > Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... > > Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... > > Exporting data from tree<*> to file<rootdata tmp_mogene_glio_rma.txt="">... > > Reading entries from<mogene-1_0-st-v1.ann> ...Finished > > <21> of<21> records exported. > >> > >> > >> > >> dim(tmp) > > Error: object 'tmp' not found > >> > >> data.moge<- attachInten(data.moge) > > tmp<- intensity(data.moge) > > head(tmp) > > > > >> tmp<- intensity(data.moge) > >> head(tmp) > > X Y 01.cel_MEAN 02.cel_MEAN 03.cel_MEAN > > 1 0 0 6213 8575 6339 > > 2 1 0 105 198 126 > > 3 2 0 6361 8720 6278 > > 4 3 0 138 170 120 > > 5 4 0 138 180 134 > > 6 5 0 127 139 133 > >> > >> > >> > >> dim(tmp) > > [1] 1102500 5 > >> > >> > >> data.rma<-rma(data.moge, > "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="",option ="transcript", > background="antigenomic",normalize=TRUE,exonlevel="all",verbose=TRUE ,xps.scheme=scheme.moge10stv1r4.na31) > > Creating new temporary file<rootdata tmp_mogene_glio_rma.root="">... > > Opening file > </library> > in<read> mode... > > Opening file<rootdata mogene_glio_cel.root=""> in<read> mode... > > Added<3> trees to PreprocesSet. > > Preprocessing data using method<preprocess>... > > Background correcting raw data... > > setting selector mask for typepm<16316> > > calculating background for<01.cel>... > > background statistics: > > 1087986 cells with minimal intensity 0 > > 970 cells with maximal intensity 84.8093 > > calculating background for<02.cel>... > > background statistics: > > 1087986 cells with minimal intensity 0 > > 4596 cells with maximal intensity 82.8614 > > calculating background for<03.cel>... > > background statistics: > > 1087986 cells with minimal intensity 0 > > 3018 cells with maximal intensity 71.3567 > > Normalizing raw data... > > normalizing data using method<quantile>... > > setting selector mask for typepm<16316> > > finished filling<3> arrays. > > computing common mean... > > finished filling<3> trees. > > Converting raw data to expression levels... > > summarizing with<medianpolish>... > > setting selector mask for typepm<16316> > > setting selector mask for typepm<16316> > > calculating expression for<21> of<35556> units...Finished. > > expression statistics: > > minimal expression level is<36.657> > > maximal expression level is<14222.3> > > preprocessing finished. > > Opening file > </library> > in<read> mode... > > Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... > > Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... > > Exporting data from tree<*> to file<rootdata tmp_mogene_glio_rma.txt="">... > > Reading entries from<mogene-1_0-st-v1.ann> ...Finished > > <21> of<21> records exported. > > >> expr.rma<- validData(data.rma) > >> dim(expr.rma) > > [1] 21 3 > > > ## only 21 records.... > > > Can anyone help? Thank you! > > > Zach Liu > > > Genomics& Computational Biology Program > Abramson Cancer Institute, School of Medicine > University of Pennsylvania > > [[alternative HTML version deleted]] > > _______________________________________________ > 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 >
ADD COMMENT
0
Entering edit mode
Dear Zack, Meanwhile I could repeat your results when using the new annotation files version na31. However, when I use the old annotation files na30 then everything is ok. This means that there may be a problem with the new annotation files. I need to investigate further and will let you know. Meanwhile I suggest that you use the annotation files na30. Best regards Christian On 10/11/10 9:55 PM, cstrato wrote: > Dear Zack, > > Usually you get this result when you create the scheme file for MoGene > using "import.genome.scheme" instead of using "import.exon.scheme", see > e.g.: > https://www.stat.math.ethz.ch/pipermail/bioconductor/2010-March/0323 53.html > > However, it seems that you have created the scheme correctly. Thus could > you please send me the output of: > > str(scheme.moge10stv1r4.na31) > > Which version of the Affymetrix annotation files did you use to create > "scheme.moge10stv1r4.na31"? > You need to use the annotation files created on 09/08/10 and not the > ones created on 08/30/10 since the older files have additional > "control->affx" which are "neg_control". > > Another problem could be your code: > > data.rma <-rma(data.moge, ...., xps.scheme=scheme.moge10stv1r4.na31) > > Since "xps.scheme" should only be used if you want to use alternative > CDF-files for expression arrays, you should do: > > data.rma <-rma(data.moge, ...., xps.scheme=NULL) > > Please send me: > - your sessionInfo(), > - the output of str(scheme.moge10stv1r4.na31), > - the output of str(data.rma), > and let me know > - which annotation files you have used and > - whether rma(.., xps.scheme=NULL) solves the problem. > > Best regards > Christian > _._._._._._._._._._._._._._._._._._ > C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a > V.i.e.n.n.a A.u.s.t.r.i.a > e.m.a.i.l: cstrato at aon.at > _._._._._._._._._._._._._._._._._._ > > > On 10/11/10 5:07 PM, Zack Liu wrote: >> Dear members, >> >> I have encountered some problems using XPS library on Mouse Gene 1.0 ST >> arrays.. Basically, when I run rma on my cel files, the signal matrix >> only >> have 21 rows (probeset?) for all the samples. Has anybody here had the >> same >> problem before? >> >> ## Generate the Scheme file >> >> scmdir<- paste(.path.package("xps"),"schemes",sep="/") >> >> libdir<- "./Affy/libraryfiles" >> >> anndir<- "./Affy/Annotation" >> >> >> scheme.moge10stv1r4.na31<- import.exon.scheme("Scheme_MoGe10stv1r4_na31", >> filedir=scmdir, layoutfile=paste(libdir, >> "MoGene-1_0-st-v1.r4.clf",sep="/"),schemefile=paste(libdir, >> "MoGene-1_0-st-v1.r4.pgf",sep="/"), probeset=paste(anndir, >> "MoGene-1_0-st-v1.na31.mm9.probeset.csv",sep="/"), >> transcript=paste(anndir,"MoGene- 1_0-st-v1.na31.mm9.transcript.csv",sep="/")) >> >> >> >> ### Generate the signal file >> >> >> celDir<- "./rawData/tissues/MoGene-1-0-st-v1/" >> >> celfiles<- c("001.CEL","002.CEL","003.CEL") >> >> celNames<- c("01","02","03") >> >> datdir<-"rootData" >> >> >> data.moge<- import.data(scheme.moge10stv1r4.na31,"mogene_glio",filedir= >> datdir,celdir=celDir,celfiles=celfiles,celnames =celNames,verbose=T) >> >> >> data.moge<- attachInten(data.moge) >> >> tmp<- intensity(data.moge) >> >> head(tmp) >> >>> dim(tmp) >> >> [1] 1102500 5 >> >> >> ### So far so good, I have >> >> #### Problem starts here >> >> data.rma<-rma(data.moge, "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="", >> option ="transcript", background="antigenomic",normalize=TRUE,exonlevel= >> "all",verbose=TRUE,xps.scheme=scheme.moge10stv1r4.na31) >> >> >> Creating new temporary file<rootdata tmp_mogene_glio_rma.root="">... >> >> Opening file >> </library> >> >> in<read> mode... >> >> Opening file<./rootData/mogene_glio_cel.root> in<read> mode... >> >> Added<3> trees to PreprocesSet. >> >> Preprocessing data using method<preprocess>... >> >> Background correcting raw data... >> >> setting selector mask for typepm<16316> >> >> calculating background for<01.cel>... >> >> background statistics: >> >> 1087986 cells with minimal intensity 0 >> >> 970 cells with maximal intensity 84.8093 >> >> calculating background for<02.cel>... >> >> background statistics: >> >> 1087986 cells with minimal intensity 0 >> >> 4596 cells with maximal intensity 82.8614 >> >> calculating background for<03.cel>... >> >> background statistics: >> >> 1087986 cells with minimal intensity 0 >> >> 3018 cells with maximal intensity 71.3567 >> >> Normalizing raw data... >> >> normalizing data using method<quantile>... >> >> setting selector mask for typepm<16316> >> >> finished filling<3> arrays. >> >> computing common mean... >> >> finished filling<3> trees. >> >> Converting raw data to expression levels... >> >> summarizing with<medianpolish>... >> >> setting selector mask for typepm<16316> >> >> setting selector mask for typepm<16316> >> >> calculating expression for<21> of<35556> units...Finished. >> >> expression statistics: >> >> minimal expression level is<36.657> >> >> maximal expression level is<14222.3> >> >> preprocessing finished. >> >> Opening file >> </library> >> >> in<read> mode... >> >> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >> >> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >> >> Exporting data from tree<*> to file<rootdata tmp_mogene_glio_rma.txt="">... >> >> Reading entries from<mogene-1_0-st-v1.ann> ...Finished >> >> <21> of<21> records exported. >> >>> >> >>> >> >>> >> >>> dim(tmp) >> >> Error: object 'tmp' not found >> >>> >> >>> data.moge<- attachInten(data.moge) >> >> tmp<- intensity(data.moge) >> >> head(tmp) >> >> >> >> >>> tmp<- intensity(data.moge) >> >>> head(tmp) >> >> X Y 01.cel_MEAN 02.cel_MEAN 03.cel_MEAN >> >> 1 0 0 6213 8575 6339 >> >> 2 1 0 105 198 126 >> >> 3 2 0 6361 8720 6278 >> >> 4 3 0 138 170 120 >> >> 5 4 0 138 180 134 >> >> 6 5 0 127 139 133 >> >>> >> >>> >> >>> >> >>> dim(tmp) >> >> [1] 1102500 5 >> >>> >> >>> >> >>> data.rma<-rma(data.moge, >> "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="",option ="transcript", >> background="antigenomic",normalize=TRUE,exonlevel="all",verbose=TRU E,xps.scheme=scheme.moge10stv1r4.na31) >> >> >> Creating new temporary file<rootdata tmp_mogene_glio_rma.root="">... >> >> Opening file >> </library> >> >> in<read> mode... >> >> Opening file<rootdata mogene_glio_cel.root=""> in<read> mode... >> >> Added<3> trees to PreprocesSet. >> >> Preprocessing data using method<preprocess>... >> >> Background correcting raw data... >> >> setting selector mask for typepm<16316> >> >> calculating background for<01.cel>... >> >> background statistics: >> >> 1087986 cells with minimal intensity 0 >> >> 970 cells with maximal intensity 84.8093 >> >> calculating background for<02.cel>... >> >> background statistics: >> >> 1087986 cells with minimal intensity 0 >> >> 4596 cells with maximal intensity 82.8614 >> >> calculating background for<03.cel>... >> >> background statistics: >> >> 1087986 cells with minimal intensity 0 >> >> 3018 cells with maximal intensity 71.3567 >> >> Normalizing raw data... >> >> normalizing data using method<quantile>... >> >> setting selector mask for typepm<16316> >> >> finished filling<3> arrays. >> >> computing common mean... >> >> finished filling<3> trees. >> >> Converting raw data to expression levels... >> >> summarizing with<medianpolish>... >> >> setting selector mask for typepm<16316> >> >> setting selector mask for typepm<16316> >> >> calculating expression for<21> of<35556> units...Finished. >> >> expression statistics: >> >> minimal expression level is<36.657> >> >> maximal expression level is<14222.3> >> >> preprocessing finished. >> >> Opening file >> </library> >> >> in<read> mode... >> >> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >> >> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >> >> Exporting data from tree<*> to file<rootdata tmp_mogene_glio_rma.txt="">... >> >> Reading entries from<mogene-1_0-st-v1.ann> ...Finished >> >> <21> of<21> records exported. >> >> >>> expr.rma<- validData(data.rma) >> >>> dim(expr.rma) >> >> [1] 21 3 >> >> >> ## only 21 records.... >> >> >> Can anyone help? Thank you! >> >> >> Zach Liu >> >> >> Genomics& Computational Biology Program >> Abramson Cancer Institute, School of Medicine >> University of Pennsylvania >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> 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 >> > > _______________________________________________ > 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 >
ADD REPLY
0
Entering edit mode
Dear Zack, The probeset annotation file for the exon arrays contains a column "level", which was set to "" for whole genome arrays. In version na31 Affymetrix has now set "level" to "---". This change caused the problem which is now solved in the new version xps_1.10.1 which is available from BioC 2.7. Best regards Christian On 10/12/10 10:30 PM, cstrato wrote: > Dear Zack, > > Meanwhile I could repeat your results when using the new annotation > files version na31. However, when I use the old annotation files na30 > then everything is ok. This means that there may be a problem with the > new annotation files. I need to investigate further and will let you > know. Meanwhile I suggest that you use the annotation files na30. > > Best regards > Christian > > > On 10/11/10 9:55 PM, cstrato wrote: >> Dear Zack, >> >> Usually you get this result when you create the scheme file for MoGene >> using "import.genome.scheme" instead of using "import.exon.scheme", see >> e.g.: >> https://www.stat.math.ethz.ch/pipermail/bioconductor/2010-March/032 353.html >> >> >> However, it seems that you have created the scheme correctly. Thus could >> you please send me the output of: >> > str(scheme.moge10stv1r4.na31) >> >> Which version of the Affymetrix annotation files did you use to create >> "scheme.moge10stv1r4.na31"? >> You need to use the annotation files created on 09/08/10 and not the >> ones created on 08/30/10 since the older files have additional >> "control->affx" which are "neg_control". >> >> Another problem could be your code: >> > data.rma <-rma(data.moge, ...., xps.scheme=scheme.moge10stv1r4.na31) >> >> Since "xps.scheme" should only be used if you want to use alternative >> CDF-files for expression arrays, you should do: >> > data.rma <-rma(data.moge, ...., xps.scheme=NULL) >> >> Please send me: >> - your sessionInfo(), >> - the output of str(scheme.moge10stv1r4.na31), >> - the output of str(data.rma), >> and let me know >> - which annotation files you have used and >> - whether rma(.., xps.scheme=NULL) solves the problem. >> >> Best regards >> Christian >> _._._._._._._._._._._._._._._._._._ >> C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a >> V.i.e.n.n.a A.u.s.t.r.i.a >> e.m.a.i.l: cstrato at aon.at >> _._._._._._._._._._._._._._._._._._ >> >> >> On 10/11/10 5:07 PM, Zack Liu wrote: >>> Dear members, >>> >>> I have encountered some problems using XPS library on Mouse Gene 1.0 ST >>> arrays.. Basically, when I run rma on my cel files, the signal matrix >>> only >>> have 21 rows (probeset?) for all the samples. Has anybody here had the >>> same >>> problem before? >>> >>> ## Generate the Scheme file >>> >>> scmdir<- paste(.path.package("xps"),"schemes",sep="/") >>> >>> libdir<- "./Affy/libraryfiles" >>> >>> anndir<- "./Affy/Annotation" >>> >>> >>> scheme.moge10stv1r4.na31<- >>> import.exon.scheme("Scheme_MoGe10stv1r4_na31", >>> filedir=scmdir, layoutfile=paste(libdir, >>> "MoGene-1_0-st-v1.r4.clf",sep="/"),schemefile=paste(libdir, >>> "MoGene-1_0-st-v1.r4.pgf",sep="/"), probeset=paste(anndir, >>> "MoGene-1_0-st-v1.na31.mm9.probeset.csv",sep="/"), >>> transcript=paste(anndir,"MoGene- 1_0-st-v1.na31.mm9.transcript.csv",sep="/")) >>> >>> >>> >>> >>> ### Generate the signal file >>> >>> >>> celDir<- "./rawData/tissues/MoGene-1-0-st-v1/" >>> >>> celfiles<- c("001.CEL","002.CEL","003.CEL") >>> >>> celNames<- c("01","02","03") >>> >>> datdir<-"rootData" >>> >>> >>> data.moge<- import.data(scheme.moge10stv1r4.na31,"mogene_glio",filedir= >>> datdir,celdir=celDir,celfiles=celfiles,celnames =celNames,verbose=T) >>> >>> >>> data.moge<- attachInten(data.moge) >>> >>> tmp<- intensity(data.moge) >>> >>> head(tmp) >>> >>>> dim(tmp) >>> >>> [1] 1102500 5 >>> >>> >>> ### So far so good, I have >>> >>> #### Problem starts here >>> >>> data.rma<-rma(data.moge, "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="", >>> option ="transcript", background="antigenomic",normalize=TRUE,exonlevel= >>> "all",verbose=TRUE,xps.scheme=scheme.moge10stv1r4.na31) >>> >>> >>> Creating new temporary file<rootdata tmp_mogene_glio_rma.root="">... >>> >>> Opening file >>> </library> >>> >>> >>> in<read> mode... >>> >>> Opening file<./rootData/mogene_glio_cel.root> in<read> mode... >>> >>> Added<3> trees to PreprocesSet. >>> >>> Preprocessing data using method<preprocess>... >>> >>> Background correcting raw data... >>> >>> setting selector mask for typepm<16316> >>> >>> calculating background for<01.cel>... >>> >>> background statistics: >>> >>> 1087986 cells with minimal intensity 0 >>> >>> 970 cells with maximal intensity 84.8093 >>> >>> calculating background for<02.cel>... >>> >>> background statistics: >>> >>> 1087986 cells with minimal intensity 0 >>> >>> 4596 cells with maximal intensity 82.8614 >>> >>> calculating background for<03.cel>... >>> >>> background statistics: >>> >>> 1087986 cells with minimal intensity 0 >>> >>> 3018 cells with maximal intensity 71.3567 >>> >>> Normalizing raw data... >>> >>> normalizing data using method<quantile>... >>> >>> setting selector mask for typepm<16316> >>> >>> finished filling<3> arrays. >>> >>> computing common mean... >>> >>> finished filling<3> trees. >>> >>> Converting raw data to expression levels... >>> >>> summarizing with<medianpolish>... >>> >>> setting selector mask for typepm<16316> >>> >>> setting selector mask for typepm<16316> >>> >>> calculating expression for<21> of<35556> units...Finished. >>> >>> expression statistics: >>> >>> minimal expression level is<36.657> >>> >>> maximal expression level is<14222.3> >>> >>> preprocessing finished. >>> >>> Opening file >>> </library> >>> >>> >>> in<read> mode... >>> >>> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >>> >>> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >>> >>> Exporting data from tree<*> to file<rootdata tmp_mogene_glio_rma.txt="">... >>> >>> Reading entries from<mogene-1_0-st-v1.ann> ...Finished >>> >>> <21> of<21> records exported. >>> >>>> >>> >>>> >>> >>>> >>> >>>> dim(tmp) >>> >>> Error: object 'tmp' not found >>> >>>> >>> >>>> data.moge<- attachInten(data.moge) >>> >>> tmp<- intensity(data.moge) >>> >>> head(tmp) >>> >>> >>> >>> >>>> tmp<- intensity(data.moge) >>> >>>> head(tmp) >>> >>> X Y 01.cel_MEAN 02.cel_MEAN 03.cel_MEAN >>> >>> 1 0 0 6213 8575 6339 >>> >>> 2 1 0 105 198 126 >>> >>> 3 2 0 6361 8720 6278 >>> >>> 4 3 0 138 170 120 >>> >>> 5 4 0 138 180 134 >>> >>> 6 5 0 127 139 133 >>> >>>> >>> >>>> >>> >>>> >>> >>>> dim(tmp) >>> >>> [1] 1102500 5 >>> >>>> >>> >>>> >>> >>>> data.rma<-rma(data.moge, >>> "tmp_MoGene_Glio_RMA",filedir=datdir,tmpdir="",option ="transcript", >>> background="antigenomic",normalize=TRUE,exonlevel="all",verbose=TR UE,xps.scheme=scheme.moge10stv1r4.na31) >>> >>> >>> >>> Creating new temporary file<rootdata tmp_mogene_glio_rma.root="">... >>> >>> Opening file >>> </library> >>> >>> >>> in<read> mode... >>> >>> Opening file<rootdata mogene_glio_cel.root=""> in<read> mode... >>> >>> Added<3> trees to PreprocesSet. >>> >>> Preprocessing data using method<preprocess>... >>> >>> Background correcting raw data... >>> >>> setting selector mask for typepm<16316> >>> >>> calculating background for<01.cel>... >>> >>> background statistics: >>> >>> 1087986 cells with minimal intensity 0 >>> >>> 970 cells with maximal intensity 84.8093 >>> >>> calculating background for<02.cel>... >>> >>> background statistics: >>> >>> 1087986 cells with minimal intensity 0 >>> >>> 4596 cells with maximal intensity 82.8614 >>> >>> calculating background for<03.cel>... >>> >>> background statistics: >>> >>> 1087986 cells with minimal intensity 0 >>> >>> 3018 cells with maximal intensity 71.3567 >>> >>> Normalizing raw data... >>> >>> normalizing data using method<quantile>... >>> >>> setting selector mask for typepm<16316> >>> >>> finished filling<3> arrays. >>> >>> computing common mean... >>> >>> finished filling<3> trees. >>> >>> Converting raw data to expression levels... >>> >>> summarizing with<medianpolish>... >>> >>> setting selector mask for typepm<16316> >>> >>> setting selector mask for typepm<16316> >>> >>> calculating expression for<21> of<35556> units...Finished. >>> >>> expression statistics: >>> >>> minimal expression level is<36.657> >>> >>> maximal expression level is<14222.3> >>> >>> preprocessing finished. >>> >>> Opening file >>> </library> >>> >>> >>> in<read> mode... >>> >>> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >>> >>> Opening file<rootdata tmp_mogene_glio_rma.root=""> in<read> mode... >>> >>> Exporting data from tree<*> to file<rootdata tmp_mogene_glio_rma.txt="">... >>> >>> Reading entries from<mogene-1_0-st-v1.ann> ...Finished >>> >>> <21> of<21> records exported. >>> >>> >>>> expr.rma<- validData(data.rma) >>> >>>> dim(expr.rma) >>> >>> [1] 21 3 >>> >>> >>> ## only 21 records.... >>> >>> >>> Can anyone help? Thank you! >>> >>> >>> Zach Liu >>> >>> >>> Genomics& Computational Biology Program >>> Abramson Cancer Institute, School of Medicine >>> University of Pennsylvania >>> >>> [[alternative HTML version deleted]] >>> >>> _______________________________________________ >>> 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 >>> >> >> _______________________________________________ >> 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 >> > > _______________________________________________ > 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 >
ADD REPLY

Login before adding your answer.

Traffic: 609 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6