Question: Warning message with dChip method
0
gravatar for Lizhe Xu
15.4 years ago by
Lizhe Xu210
Lizhe Xu210 wrote:
I got the following message when runing dChip, should I ignore the warning message or ignore the method? > dDataA<-expresso(DataA, bgcorrect.method="mas", normalize.method="invariantset", pmcorrect.method="pmonly", summary.method="liwong") background correction: mas normalization: invariantset PM/MM correction : pmonly expression values: liwong background correcting...done. normalizing...done. 22283 ids to be processed Warning message: No convergence achieved in outlier loop in: fit.li.wong(probes, ...) Warning message: No convergence achieved in outlier loop in: fit.li.wong(probes, ...) Thanks. Lizhe -----Original Message----- From: bioconductor-request@stat.math.ethz.ch [mailto:bioconductor- request@stat.math.ethz.ch] Sent: Tuesday, March 16, 2004 11:29 AM To: bioconductor@stat.math.ethz.ch Subject: Bioconductor Digest, Vol 13, Issue 36 Send Bioconductor mailing list submissions to bioconductor@stat.math.ethz.ch To subscribe or unsubscribe via the World Wide Web, visit https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor or, via email, send a message with subject or body 'help' to bioconductor-request@stat.math.ethz.ch You can reach the person managing the list at bioconductor-owner@stat.math.ethz.ch When replying, please edit your Subject line so it is more specific than "Re: Contents of Bioconductor digest..." Today's Topics: 1. RE: MOE430 A and B - bug? (Jose Duarte) 2. Re: Where are the new metadata packages (John Zhang) 3. canine annotation library package (LIANHE SHAO) 4. BioConductor: Affy Package (Julius Viloria) 5. Re: warning messages in gcrma (paolo.sirabella@uniroma1.it) 6. QualityWeights (using limma) joycel_balaena.bio.vu.nl) 7. Re: Where are the new metadata packages (Jeff Gentry) 8. Canine annotation package (LIANHE SHAO) 9. RE: Quantile normalization vs. data distributions (Arne.Muller@aventis.com) ---------------------------------------------------------------------- Message: 1 Date: 16 Mar 2004 15:05:19 +0000 From: Jose Duarte <jose.duarte@human-anatomy.oxford.ac.uk> Subject: RE: [BioC] MOE430 A and B - bug? To: Aedin <aedin.culhane@ucd.ie> Cc: bioconductor@stat.math.ethz.ch Message-ID: <1079449519.20677.30.camel@fgu013.anat.ox.ac.uk> Content-Type: text/plain I am getting exactly the same error in aafGO: > a<-aafGO(probeids,"moe430a") Error in exists(num, GOBPID2TERM) : Object "GOBPID2TERM" not found This is when using version 1.5.0 of the moe430a metadata package. In a different machine with version 1.4.0 this works alright. annaffy version is 1.0.3 in both. Thanks Jose On Mon, 2004-03-15 at 17:04, Aedin wrote: > Hi > I am having problems using annaffy GO (aafGO) annotations on these chips? I > have updated my chip annotation files, and GO library, but still get > > > a<-aafGO(rownames(chipA), "moe430a") > Error in exists(num, GOBPID2TERM) : Object "GOBPID2TERM" not found > > Thanks for your help, > Aedin > > -----Original Message----- > From: bioconductor-bounces+aedin.culhane=ucd.ie@stat.math.ethz.ch > [mailto:bioconductor- bounces+aedin.culhane=ucd.ie@stat.math.ethz.ch]On > Behalf Of Ben Bolstad > Sent: 15 March 2004 14:17 > To: peter robinson > Cc: bioconductor@stat.math.ethz.ch > Subject: Re: [BioC] MOE430 A and B > > > you need to read in the type A and type B files into separate affybatch > objects. > > eg > > my.Data.A <- > ReadAffy(filenames=c("blahA1.cel","blahA2.cel","blahA3.cel")) > > my.Data.B <- > ReadAffy(filenames=c("blahB1.cel","blahB2.cel","blahB3.cel")) > > Ben > > > > > > > On Mon, 2004-03-15 at 04:20, peter robinson wrote: > > Dear List members, > > > > I would like to use the affy package to analyze data from MOE430A and -B > > chips. I tried to read in data from both types of chips at once using > > data <- ReadAffy(widget=T) > > and then reading in 3 MOE430A and 3 MOE430B CEL files. > > I got the error message: > > "Cel file does not seem to beo of 430MOEA type" when the script tried to > input > > data from a 430MOEB Cel file. I had imported the CDF and annotation > packages > > for both types of chip. > > I am using R 1.81, Bioconductor 1.3 on a SuSe 8.1 linux system. > > > > Thanks for any advice/tips! > > > > Peter > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor@stat.math.ethz.ch > > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor > -- > Ben Bolstad <bolstad@stat.berkeley.edu> > http://www.stat.berkeley.edu/~bolstad > > _______________________________________________ > 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 -- Jose Duarte <jose.duarte@anat.ox.ac.uk> ------------------------------ Message: 2 Date: Tue, 16 Mar 2004 10:07:33 -0500 (EST) From: John Zhang <jzhang@jimmy.harvard.edu> Subject: Re: [BioC] Where are the new metadata packages To: Claudio.Lottaz@molgen.mpg.de Cc: bioconductor@stat.math.ethz.ch Message-ID: <200403161507.KAA02425@blaise.dfci.harvard.edu> Content-Type: TEXT/plain; charset=us-ascii >A few days ago versions 1.5.1 of several data packages have been announced and were accessible for a little while. However, I no longer find them, the links on the bioconductor page lead to version 1.5.0 (e.g. for GO) and download.packages2 fetches version 1.5.0 of GO. We have decided to also have a release (currently 1.5.0) and developmental version (currently 1.5.1) of annotation data packages. The link to metaData is for the release version. Our system is not quite ready for the developmental version yet. A very temporary solution is to do the following to get the developmental version (currently 1.5.1): library(reposTools) z <- getReposEntry("http://www.bioconductor.org/data/metaData-devel") Then you can use z in the 'repEntry' arguments: update.packages2(repEntry=z) Example for install.packages2 install.packages2("hgu95av2", repEntry=z) Sorry for the confusion. > >Has a problem been found with the packages? >Or is the problem that the new versions have been accidentally removed from the repository? > >Cheers >Claudio > >_______________________________________________ >Bioconductor mailing list >Bioconductor@stat.math.ethz.ch >https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor Jianhua Zhang Department of Biostatistics Dana-Farber Cancer Institute 44 Binney Street Boston, MA 02115-6084 ------------------------------ Message: 3 Date: Tue, 16 Mar 2004 07:17:06 -0800 From: LIANHE SHAO <lshao2@jhmi.edu> Subject: [BioC] canine annotation library package To: bioconductor@stat.math.ethz.ch Message-ID: <aa71cbaa71ac.aa71acaa71cb@jhmimail.jhmi.edu> Content-Type: text/plain; charset=us-ascii Hi, Can anybody tell me where to find Canine Annotation package. Seems there is no such package on the Bioconductor website. Thanks. Regards, William ------------------------------ Message: 4 Date: Mon, 15 Mar 2004 11:24:55 -0800 From: "Julius Viloria" <jviloria@iac-online.com> Subject: [BioC] BioConductor: Affy Package To: <bioconductor@stat.math.ethz.ch> Cc: Julius Viloria <jviloria@iac-online.com> Message-ID: <4E419C7BF2F7A443893BF80AAD6A18B30127D9@intelligent4.iac- online.com> Content-Type: text/plain Hello, Is there a complete stand-alone version of the affy package and if so, is the c source code available for this? I'm mostly interested in using some of the background correction and normalization functions of the affy package with some other functions I have written in MATLAB. I am not familiar with the intricacies of R and the c code required to attach the algorithms with the R environment. Any help would be greatly appreciated. Sincerely, Julius Viloria [[alternative HTML version deleted]] ------------------------------ Message: 5 Date: Tue, 16 Mar 2004 14:28:58 +0100 From: paolo.sirabella@uniroma1.it Subject: Re: [BioC] warning messages in gcrma To: bioconductor@stat.math.ethz.ch Message-ID: <40570F2A.26736.4A51D35@localhost> Content-Type: text/plain; charset=US-ASCII I got the same kind of warnings referred in the attached post by Lizhe Xu. The configuration is R1.8.1/BioC1.3/Linux . I have no idea of the meaning of these warnings and if they are significant. Does anyone give us some hints ? Thanks ---------------------------------------------------------------- Paolo Sirabella, PhD University of Rome - "La Sapienza" Dept. of Human Physiology and Pharmacology - Building of Human Physiology P.le Aldo Moro, 5 - 00185 Roma - Italy Web http://w3.uniroma1.it/cisb/Cisb/members/sirabella Simplex Sigillum Veri ---------------------------------------------------------------------- -- On 15 Mar 2004 at 15:22, Lizhe Xu wrote: > I just tried to run gcrma and got 30 warnings. I wonder if there are something I did wrong and if these warning affect my results. Thanks. > > > gcrmaDataB<-gcrma(DataB) > Loading required package: hgu133bprobe > Loading required package: matchprobes > background correction: gcrma > normalization: quantiles > PM/MM correction : pmonly > expression values: medianpolish > background correcting...There were 30 warnings (use warnings() to see them) > done. > normalizing...done. > 22645 ids to be processed > ......... > > warnings() > Warning messages: > 1: multi-argument returns are deprecated in: return(y = yhat, wt) > 2: multi-argument returns are deprecated in: return(y = yhat, wt) > 3: multi-argument returns are deprecated in: return(y = yhat, wt) > 4: multi-argument returns are deprecated in: return(y = yhat, wt) > 5: multi-argument returns are deprecated in: return(y = yhat, wt) > 6: multi-argument returns are deprecated in: return(y = yhat, wt) > 7: multi-argument returns are deprecated in: return(y = yhat, wt) > 8: multi-argument returns are deprecated in: return(y = yhat, wt) > 9: multi-argument returns are deprecated in: return(y = yhat, wt) > 10: multi-argument returns are deprecated in: return(y = yhat, wt) > 11: multi-argument returns are deprecated in: return(y = yhat, wt) > 12: multi-argument returns are deprecated in: return(y = yhat, wt) > 13: multi-argument returns are deprecated in: return(y = yhat, wt) > 14: multi-argument returns are deprecated in: return(y = yhat, wt) > 15: multi-argument returns are deprecated in: return(y = yhat, wt) > 16: multi-argument returns are deprecated in: return(y = yhat, wt) > 17: multi-argument returns are deprecated in: return(y = yhat, wt) > 18: multi-argument returns are deprecated in: return(y = yhat, wt) > 19: multi-argument returns are deprecated in: return(y = yhat, wt) > 20: multi-argument returns are deprecated in: return(y = yhat, wt) > 21: multi-argument returns are deprecated in: return(y = yhat, wt) > 22: multi-argument returns are deprecated in: return(y = yhat, wt) > 23: multi-argument returns are deprecated in: return(y = yhat, wt) > 24: multi-argument returns are deprecated in: return(y = yhat, wt) > 25: multi-argument returns are deprecated in: return(y = yhat, wt) > 26: multi-argument returns are deprecated in: return(y = yhat, wt) > 27: multi-argument returns are deprecated in: return(y = yhat, wt) > 28: multi-argument returns are deprecated in: return(y = yhat, wt) > 29: multi-argument returns are deprecated in: return(y = yhat, wt) > 30: multi-argument returns are deprecated in: return(y = yhat, wt) > > Lizhe ------------------------------ Message: 6 Date: Tue, 16 Mar 2004 15:35:07 +0100 From: "joycel_balaena.bio.vu.nl" <joycel@bio.vu.nl> Subject: [BioC] QualityWeights (using limma) To: "bioconductor@stat.math.ethz.ch" <bioconductor@stat.math.ethz.ch> Message-ID: <4072ADEB@twigger.nl> Content-Type: text/plain; charset="ISO-8859-1" I am using the limma application and am wondering whether there are is a QualityWeights function available for Imagene? If not, is there an alternative way to compute QualityWeights when using data from the Imagene image analysis program? Hope someone can help me out, Joyce van de Leemput ===============einde bericht======================== Dit bericht is verstuurd via http://www.twigger.nl. Overal ter wereld je bestaande mailadres bereikbaar. Stuur goedkoop SMS via http://www.twiggersms.nl ------------------------------ Message: 7 Date: Tue, 16 Mar 2004 10:30:28 -0500 (EST) From: Jeff Gentry <jgentry@jimmy.harvard.edu> Subject: Re: [BioC] Where are the new metadata packages To: Claudio Lottaz <claudio.lottaz@molgen.mpg.de> Cc: bioconductor@stat.math.ethz.ch Message-ID: <pine.sol.4.20.0403161022550.1867-100000@santiam.dfci.harvard.edu> Content-Type: TEXT/PLAIN; charset=US-ASCII > Has a problem been found with the packages? Or is the problem that > the new versions have been accidentally removed from the repository? Sorry, I should have made a general announcement about this. We're in the process of splitting the data into two tracks to match our packages, so that there will be a notion of "release" and "devel" data packages, where the former is intended to track BioC-Release and the latter BioC- Devel. I rolled back what is in the primary metadata repository to be considered "release" and have created a new "devel" metadata repository. The problem is that we're in a temporary state of flux as to how to handle notions of release/devel in general, which should be cleared up in the very near future. In the meantime, a temporary workaround to access the devel metadata repository can be had with: 'z <- getReposEntry("http://www.bioconductor.org/data/metaData- devel")' Then you can use z in the 'repEntry' arguments: 'update.packages2(repEntry=z, prevRepos=FALSE)' The 'prevRepos' argument turns off the default behavior of update.packages2 which is that it will instead try to update from the repository which you originally installed the package from. Example for install.packages2 install.packages2("hgu95av2", repEntry=z) -J ------------------------------ Message: 8 Date: Tue, 16 Mar 2004 07:34:00 -0800 From: LIANHE SHAO <lshao2@jhmi.edu> Subject: [BioC] Canine annotation package To: "'bioconductor@stat.math.ethz.ch'" <bioconductor@stat.math.ethz.ch> Message-ID: <aa3689aa880a.aa880aaa3689@jhmimail.jhmi.edu> Content-Type: text/plain; charset=us-ascii Hi, I am tring to use R to process Canine-related affy chips. Could anybody tell me where I can find Canine annotation package on Bioconductor website? Regards, William ------------------------------ Message: 9 Date: Tue, 16 Mar 2004 16:58:08 +0100 From: <arne.muller@aventis.com> Subject: RE: [BioC] Quantile normalization vs. data distributions To: <naomi@stat.psu.edu>, <swsmiley@genetics.utah.edu>, <bioconductor@stat.math.ethz.ch> Message-ID: <c80ecafa2acc1b45be45d133ed660ade010bf16f@crbsmxsusr04.pharma. aventis.com=""> Content-Type: text/plain; charset="iso-8859-1" Hello, I've two questions regarding the suggestions from Naomi. 1. I've had a look at some density plots (*after* rma bgcorret + quantile normalisation across all chips of my experiment). The tails of the plots look very similar wheras the at high density some plots differ in shape or value. When/how would you consider the two distributions to be equal? 2. As a non-statistician I'm a bit confused that statistical test will nearly always find a significant difference between distributions when the samples are large (I remember someone mentioned this to me - without explanations - about 2 years ago in a posting to the R-list). Is there a way to "normalize" the test results (e.g. the p-values) by the size of the sample? I guess such a significant difference as reported by a test is a *real* difference (otherwise all statistical test would be worthless ...). Can one assume, that even if the two distributions are statistically different, one can treat them as equal judged by visuall investigatigation of a density plot or histogram? What is a large sample? If a test finds a difference between two distributions, how do I know it's not just because of the sample size? Is there something like a "maximum sample size test" (similar to determining the power of a test)? Thanks again for your comments, +kind regarrds, Arne -- Arne Muller, Ph.D. Toxicogenomics, Aventis Pharma arne dot muller domain=aventis com > -----Original Message----- > From: bioconductor-bounces@stat.math.ethz.ch > [mailto:bioconductor-bounces@stat.math.ethz.ch]On Behalf Of > Naomi Altman > Sent: 15 March 2004 16:05 > To: Stan Smiley; Bioconductor Mailing list > Subject: Re: [BioC] Quantile normalization vs. data distributions > > > This is a very good question that I have also been puzzling > over. It seems > useless to try > tests of equality of the distribution such as > Kolmogorov-Smirnov- due to > the huge sample size you > would almost certainly get a significant result. > > Currently, I am using the following graphical method: > > 1. I compute a kernel density estimate of the combined data > of all probes > on all the arrays. > 2. I compute a kernel density estimate of the data for each array. > 3. I plot both smooths on the same plot, and decide if they > are the same. > > Looking at what I wrote above, I think it would be better in > steps 1 and 2 > to background correct and > center each array before combining. It might also be between > to reduce the > data to standardized scores before combining, unless > you think that the overall scaling is due to your "treatment effect". > > It seems like half of what I do is ad hoc, so I always welcome any > criticisms or suggestions. > > --Naomi Altman > > At 06:07 PM 3/11/2004, Stan Smiley wrote: > >Greetings, > > > >I have been trying to find a quantitative measure to tell > when the data > >distributions > >between chips are 'seriously' different enough from each > other to violate > >the > >assumptions behind quantile normalization. I've been through > the archives > >and seen some discussion of this matter, but didn't come away with a > >quantitative measure I > >could apply to my data sets to assure me that it would be OK > to use quantile > >normalization. > > > > > >"Quantile normalization uses a single standard for all > chips, however it > >assumes that no serious change in distribution occurs" > > > >Could someone please point me in the right direction on this? > > > >Thanks. > > > >Stan Smiley > >stan.smiley@genetics.utah.edu > > > >_______________________________________________ > >Bioconductor mailing list > >Bioconductor@stat.math.ethz.ch > >https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor > > Naomi S. Altman 814-865-3791 (voice) > Associate Professor > Bioinformatics Consulting Center > Dept. of Statistics 814-863-7114 (fax) > Penn State University 814-865-1348 > (Statistics) > University Park, PA 16802-2111 > > _______________________________________________ > 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 End of Bioconductor Digest, Vol 13, Issue 36
ADD COMMENTlink modified 15.4 years ago by Rafael A. Irizarry2.3k • written 15.4 years ago by Lizhe Xu210
Answer: Warning message with dChip method
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gravatar for Rafael A. Irizarry
15.4 years ago by
Rafael A. Irizarry2.3k wrote:
from the li.wong help: Notice that this iterative algorithm will not always converge. If you run the algorithm on thousands of probes expect some non-convergence warnings. These are more likely when few arrays are used. We recommend using this method only if you have 10 or more arrays. also notice you are not running dChip. also from the help file: This is Bioconductor's implementation of the Li and Wong algorithm. The Li and Wong PNAS 2001 paper was followed. However, you will not get the same results as you would get with dChip. dChip is not open source so it is not easy to reproduce. On Tue, 16 Mar 2004, Lizhe Xu wrote: > I got the following message when runing dChip, should I ignore the warning message or ignore the method? > > > dDataA<-expresso(DataA, bgcorrect.method="mas", normalize.method="invariantset", pmcorrect.method="pmonly", summary.method="liwong") > background correction: mas > normalization: invariantset > PM/MM correction : pmonly > expression values: liwong > background correcting...done. > normalizing...done. > 22283 ids to be processed > Warning message: > No convergence achieved in outlier loop > in: fit.li.wong(probes, ...) > Warning message: > No convergence achieved in outlier loop > in: fit.li.wong(probes, ...) > > Thanks. > > Lizhe > > -----Original Message----- > From: bioconductor-request@stat.math.ethz.ch [mailto:bioconductor- request@stat.math.ethz.ch] > Sent: Tuesday, March 16, 2004 11:29 AM > To: bioconductor@stat.math.ethz.ch > Subject: Bioconductor Digest, Vol 13, Issue 36 > > > Send Bioconductor mailing list submissions to > bioconductor@stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor > or, via email, send a message with subject or body 'help' to > bioconductor-request@stat.math.ethz.ch > > You can reach the person managing the list at > bioconductor-owner@stat.math.ethz.ch > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Bioconductor digest..." > > > Today's Topics: > > 1. RE: MOE430 A and B - bug? (Jose Duarte) > 2. Re: Where are the new metadata packages (John Zhang) > 3. canine annotation library package (LIANHE SHAO) > 4. BioConductor: Affy Package (Julius Viloria) > 5. Re: warning messages in gcrma (paolo.sirabella@uniroma1.it) > 6. QualityWeights (using limma) joycel_balaena.bio.vu.nl) > 7. Re: Where are the new metadata packages (Jeff Gentry) > 8. Canine annotation package (LIANHE SHAO) > 9. RE: Quantile normalization vs. data distributions > (Arne.Muller@aventis.com) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: 16 Mar 2004 15:05:19 +0000 > From: Jose Duarte <jose.duarte@human-anatomy.oxford.ac.uk> > Subject: RE: [BioC] MOE430 A and B - bug? > To: Aedin <aedin.culhane@ucd.ie> > Cc: bioconductor@stat.math.ethz.ch > Message-ID: <1079449519.20677.30.camel@fgu013.anat.ox.ac.uk> > Content-Type: text/plain > > I am getting exactly the same error in aafGO: > > > a<-aafGO(probeids,"moe430a") > Error in exists(num, GOBPID2TERM) : Object "GOBPID2TERM" not found > > This is when using version 1.5.0 of the moe430a metadata package. In a > different machine with version 1.4.0 this works alright. annaffy version > is 1.0.3 in both. > > Thanks > > Jose > > > On Mon, 2004-03-15 at 17:04, Aedin wrote: > > Hi > > I am having problems using annaffy GO (aafGO) annotations on these chips? I > > have updated my chip annotation files, and GO library, but still get > > > > > a<-aafGO(rownames(chipA), "moe430a") > > Error in exists(num, GOBPID2TERM) : Object "GOBPID2TERM" not found > > > > Thanks for your help, > > Aedin > > > > -----Original Message----- > > From: bioconductor-bounces+aedin.culhane=ucd.ie@stat.math.ethz.ch > > [mailto:bioconductor- bounces+aedin.culhane=ucd.ie@stat.math.ethz.ch]On > > Behalf Of Ben Bolstad > > Sent: 15 March 2004 14:17 > > To: peter robinson > > Cc: bioconductor@stat.math.ethz.ch > > Subject: Re: [BioC] MOE430 A and B > > > > > > you need to read in the type A and type B files into separate affybatch > > objects. > > > > eg > > > > my.Data.A <- > > ReadAffy(filenames=c("blahA1.cel","blahA2.cel","blahA3.cel")) > > > > my.Data.B <- > > ReadAffy(filenames=c("blahB1.cel","blahB2.cel","blahB3.cel")) > > > > Ben > > > > > > > > > > > > > > On Mon, 2004-03-15 at 04:20, peter robinson wrote: > > > Dear List members, > > > > > > I would like to use the affy package to analyze data from MOE430A and -B > > > chips. I tried to read in data from both types of chips at once using > > > data <- ReadAffy(widget=T) > > > and then reading in 3 MOE430A and 3 MOE430B CEL files. > > > I got the error message: > > > "Cel file does not seem to beo of 430MOEA type" when the script tried to > > input > > > data from a 430MOEB Cel file. I had imported the CDF and annotation > > packages > > > for both types of chip. > > > I am using R 1.81, Bioconductor 1.3 on a SuSe 8.1 linux system. > > > > > > Thanks for any advice/tips! > > > > > > Peter > > > > > > _______________________________________________ > > > Bioconductor mailing list > > > Bioconductor@stat.math.ethz.ch > > > https://www.stat.math.ethz.ch/mailman/listinfo/bioconductor > > -- > > Ben Bolstad <bolstad@stat.berkeley.edu> > > http://www.stat.berkeley.edu/~bolstad > > > > _______________________________________________ > > 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 >
ADD COMMENTlink written 15.4 years ago by Rafael A. Irizarry2.3k
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