similar to: justRMA

Hi, I have two data set of normalized Affymetrix CEL files, wild type vs Control type.(each set have further three replicates). > wild.fish AffyBatch object size of arrays=712x712 features (10 kb) cdf=Zebrafish (15617 affyids) number of samples=3 number of genes=15617 annotation=zebrafish notes= > Dicer.fish AffyBatch object size of arrays=712x712 features (10 kb) cdf=Zebrafish (15617

Hi all, I tried to do normalization of affymetrix data with bioconductor on a Linux server. When I read in the cel files all seemed ok. But the next step caused an error. With Win XP all works fine. Did anyone experience similar problems? Thanks, Thomas > PI <- ReadAffy() > PI AffyBatch object size of arrays=712x712 features (14 kb) cdf=ATH1-121501 (??? affyids) number of

The Bioconductor core group would like to announce the 1.3 release of the Bioconductor software. There are many new packages as well as several major upgrades and fixes in older packages, and users are encouraged to check them out. Release 1.3 is intended to be operated with R version 1.8.X, which can be obtained at CRAN (http://cran.r-project.org/) -- WHAT FEATURES DOES THIS RELEASE PROVIDE?

The Bioconductor core group would like to announce the 1.3 release of the Bioconductor software. There are many new packages as well as several major upgrades and fixes in older packages, and users are encouraged to check them out. Release 1.3 is intended to be operated with R version 1.8.X, which can be obtained at CRAN (http://cran.r-project.org/) -- WHAT FEATURES DOES THIS RELEASE PROVIDE?

Dear R-help Hi, I'm Won. I try to do microarray normalization by R. I use justRMA function within affy package, got error about segment fault. I don't know why it happen. I attached error below. Please help me. Thank you. Cheers, Won ======================= OS : Redhat linux Cpu : intel xeon X5570 Memory : 26Gb & OS : Ubuntu Cpu : intel q6600 Memory : 8Gb

Hello. By way of background, I am running out of memory when attempting to normalize the data from 160 affymetrix microarrays using justRMA (from the affy package). This is despite making 6 gigabytes of swap space available on our sgi irix machine (which has 2 gigabytes of ram). I have seen in various discussions statements such as "you will need at least 6 gigabytes of memory to normalize

Hi, I have built R (current development version) and BioConductor 1.7 with portland group compiler on a AMD Opteron. When I ran qc assessment on Affymetrix latin square data set, I got the following output, Loading required package: affy Loading required package: Biobase Loading required package: tools Welcome to Bioconductor Vignettes contain introductory material. To view,

Running R2.4.0 on Apple Mac OS X 10.4.8, in Emacs ESS mode, and also R.app. In an attempt to learn a bit more about a particular method (geneNames in package affy) I invoked getMethods("geneNames") which produced geneNames methods, but not the one in affy (output below). I had to know the signature (AffyBatch) in order to find the method > getMethod("geneNames",

Hello, Im trying to combine 3 affybatches (1x hgu133+2 array and 2x hgu133a array) Im useing this script: library(matchprobes) library(affy) library(AnnotationDbi) library(hgu133plus2probe) library(hgu133aprobe) library(hgu133a.db) u133p2 = ReadAffy() # reading hgu133 +2 cel file into affybatch u133a1 = ReadAffy() # reading hgu133a cel file into affybatch u133a2 = ReadAffy() # reading hgu133a

Hi! Is There a way to manually create an affybatch object from qPCR array data? -- View this message in context: http://r.789695.n4.nabble.com/Creating-affybatch-objects-from-matrix-data-from-qPCR-array-tp3921559p3921559.html Sent from the R help mailing list archive at Nabble.com.

Hello! When I use the functions rma() or justrma() in the Bioconductor affy package, the standard errors for the expression estimates computed by the function se.exprs() is a matrix of NA's. I am wondering if any of you have encountered this problem and if there is a solution. Any help would be appreciated. Thanks, Karthik. [[alternative HTML version deleted]]

dear all, I have a problem with a masked object in a package we created here. we make a package for a workflow of internal analysis of microarray data. to create the package we used: > install.packages(pkgs="affyAnalysis", repos=NULL) > R CMD INSTALL affyAnalysis Erzeuge Verzeichnisse ... Erzeuge DESCRIPTION ... Erzeuge NAMESPACE ... Erzeuge Read-and-delete-me ... Kopiere

promptClass fails to identify methods associated with the class. Here is a fix: Index: promptClass.R =================================================================== --- promptClass.R (revision 41719) +++ promptClass.R (working copy) @@ -165,7 +165,7 @@ if (nmeths > 0) { .meths.body <- " \\describe{" for (i in 1:nmeths) { - .sigmat

The Bioconductor development team announces release 1.2 of the Bioconductor packages for the analysis of genomic data. Bioconductor is an open source bioinformatics software project based on the R language. Version 1.2 features: ===================== * All packages from the 1.1 release are included. All current bug fixes have been applied, and most have been upgraded and provide enhanced

Dear Community, I am very new to the world of Linux and R and I have stumbled upon a problem that I cannot seem to resolve on my own. Here is the relevant background: I am working on a 64-bit Linux Fedora Core 6 OS. I using R version 2.5.1. I have 3.8 Gb of RAM and 1.9 Gb of swap. As I see it, there are no restraints on the amount of memory that R can use imposed by this particular OS build.

Hi!I'm doing a little data importing from .cel files, > setwd("/home/mandova/celfiles") > mydata<-ReadAffy() Error in sub("^/?([^/]*/)*", "", filenames, extended = TRUE) : unused argument(s) (extended = TRUE) Then I tried > filenames<-paste("GSM",c(seq(138597,138617,1)),".cel",sep="") >

I am trying to work with 75 affymetrix U133plus2 chips and am running into memory allocation errors when trying to merge or convert probe level data to expression values. I keep getting - Error: cannot allocate vector of size 561011 Kb and that is simply with a data subset. Is there a way around this limitation? -- Rodney A. Staggs Cancer Center Informatics Shared Resource 425 Delaware St S.E.

Hi all , I have one query. i have list of some .cel files. in my program i have to mention the path of these .cel files part of my program is, rna.data<-exprs(justRMA(filenames=file.names, celfile.path=*datadir*, sampleNames=sample.names, phenoData=pheno.data, cdfname=cleancdfname(hg18_Affymetrix U133A))) in the place of "datadir" i have to mention the character string of the

Given a matrix B, where B=A'A, how can I find A? In other words, if I have a matrix B which I know is another matrix A times its transpose, can I find matrix A? Thanks, Mike

Hallo, I just installed all needed packages for my project on my PC. But I cannot load all at one time. I now want to load limma. How can I realize the following plan: I want to install for example limma inclusive all needed other sub packages (add-on). Can anyone tell me the corresponding command? Thanks, Corinna Here is the result of the command library(): Pakete in Library