similar to: gene ontology association

I would write in tab-text file a table like this one: TAB colname1 TAB colname2 TAB TAB... colnameN rowname1 # # # rowname2 # # # rownameM # # # then I wrote something like: mymatrix <- matrix(nrow=M,ncol=N,byrow=T) rownames(mymatrix) <- chvector1 colnames(mymatrix) <- chvector2

our group at Duke is currently attempting to connect two data sets fed through a web-based system, one containing research questions (i.e., variables positioned with certain roles) and a database of statistical methods. this connection is done informally in a number of R packages and related software such as Rcmdr, R4calc, and Rkward where a variable of a certain type is matched to a certain

Hello! I would plot more than 10 (this number is always different) graphics on a figure with layout like 'mfrow=c(4,2)'. There is some existing function able to open the right number of device if number of graphics is done or I have to build it myself with some 'IF.....ELSE.....'? Thanks. A.S. ----------------------------

Dear Jean-Marc: Would you please send Thierry an ontology mapping table specification for speex according to the format he links to at the end of his message below? Thank you. On Mon, Oct 11, 2010 at 9:54 AM, Thierry MICHEL <tmichel at w3.org> wrote: > Dear James, > > In your latest email to the MAWG response to your comment, you seem to > disagree with the MAWG proposal. >

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Dear all, I have an ontology which I would like to load in R to then compute the minimum distance between elements. Since this ontology is not only DAG, the problem is non trivial and therefore decided to use R with the powerful e1071 library (allShortestPaths) to do that. That method requires to provide a distance matrix between the various objects. My ontology contains 32768 objects and

Hi! Probably I perform this question because I did'nt still understand the R-philosophy. I have to build many matrix, with different dimensions, and I would to assign them a same 'prefix' name, i.e. "aval", but, obviuosly different suffix, something like: for (i in 1:n) { aval%i% <- matrix(scan(data....),nrow=nr[i],ncol=nc[i] ... } where "%i%"

Hello! What kind of calculation perform 'chisq.test', if its argument is a matrix? Thanks for any suggestion! ------------------------------------------------------------ Sincerely yours. Dr. Alessandro Semeria Tel. +39 544 536811 Models and Simulation Lab of Fax. +39 544 538663 The Environment Research Center - Montecatini

Hi I am trying to read genbank est flat files. Is there any function in R to do that. I was looking for something similar to SeqIO.parse(input_handle, "genbank") in bioPython that convert the genebank sequence into fasta sequence. (One option is to call biopython from R but I am not familiar with python functions so I want to avoid that and I am keeping it as last resort) Thanks and

Hi: I have clustered microarray gene expression data and trying to map between microarray probe, gene, pathway, gene ontology, and homology for a set of (affy) microarray probes. Is there any package in R which facilitates this? I am looking at bioconductor, but till now could not find a solution. A link to some worked example would be appreciated. Thanks and regards. John [[alternative HTML

Are there any R packages to import and use Web Ontology Language (OWL) ontologies (represented in OWL/RDF or other form)? Thanks, -s [[alternative HTML version deleted]]

Hello R-users, I have observed that is.na() behaves strange on some lists. Here is a simple example: > a = list(list('asd')) > a [[1]] [[1]][[1]] [1] "asd" > for(i in 1:5) + print(is.na(a)) [1] TRUE [1] FALSE [1] TRUE [1] TRUE [1] TRUE > > for(i in 1:10) + print(as.integer(is.na(a))) [1] 0 [1] 10 [1] 1 [1] 0 [1] 140897024 [1] 134567568 [1] 1 [1] 1953720684

Hallo everybody. I want to build my own GO package using the function GOPkgBuilder of AnnBuilder. It uses AnnBuilderSourceUrls to collect data from different ftp sites. These data are not complete for my organism, so I would like to change the ftp adresses to a local one. The changing itself is working but when I run the script I get the following Error: Error in

Hi, I'm trying to execute R-script from Python. I'm using R 2.7.2, Python 2.5 and WinXP. I don't won't to use Python/R interface because of nature of project. Python code : import subprocess command = 'c:\\Program Files\\R\\R-2.7.2\\bin\\Rterm.exe --vanilla -q <d:\\test\\run\\geneBank.r> d:\\output.out' subprocess.Popen(command).wait() After that, I get error

Hi there. I got some Problems building an Annotation-Package with AnnBuilder. Not using the function ABPkgBuilder(), but just parts of it to create a package without connecting to the servers, I managed to create a Package, but it seems to be empty. R recognizes it as a package, but is unable to load it. The form of the data is in a correct form, I got an example-annotation-file the function

I don't know if there is some fault in compiling or a bug of the new R-1.7.0 version: cl.pam.2 <- pam(as.dist(1-cor(mel.data)),2) plot(cl.pam.2) perform a right partitioning and silhouette plot on the old R-1.6.2 instead "Error in clusplot.default(x$diss,...... ; x is not numeric" is the output on the new R-1.7.0. Same platform: RH8.0 i686. Some suggestions? A.S.

I have written a function to plot data which will be used for various different chemistries. A simplified version is: plot_data <- function(risk,levels,chem,sd2,measure){ plot(risk, levels,main=paste ("per", sd2, measure, "\n in usual", chem)) } The problem is with the title. This works fine if the variable "chem" is just text, but if it is an expression then

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

Good morning ! Today I found a strange, for my poor knowledge of R, behaviour of 'which' on a matrix: HAL9000> str(cluster.matrix) num [1:227, 1:6300] 2 2 2 2 2 2 2 2 2 2 ... HAL9000> class(cluster.matrix) [1] "matrix" HAL9000> ase <- cluster.matrix[1:5,1:5] HAL9000> ase [,1] [,2] [,3] [,4] [,5] [1,] 2 2 2 0 -2 [2,] 2 2 2 0 -2 [3,]

Dear all, Is there any generic algorithm code for optimization implemented in R? I searched without success. Thanks, -- Zhu Wang Statistical Science Department Southern Methodist University Phone: (214)768-2453 Fax: (214)768-4035 Email: zhuw at mail.smu.edu