similar to: Need help for SVM code for microarray classification

Hi, I have written a code in R for classifying microarray data using naive bayes, the code is given below: library(e1071) train<-read.table("Z:/Documents/train.txt",header=T); test<-read.table("Z:/Documents/test.txt",header=T); cl <- c(c(rep("ALL",10), rep("AML",10))); cl <- factor(cl) model <- NaiveBayes(train,cl);

Hi, I have written a code in R for classifying microarray data using naive bayes, the code is given below: library(e1071) train<-read.table("Z:/Documents/train.txt",header=T); test<-read.table("Z:/Documents/test.txt",header=T); cl <- c(c(rep("ALL",10), rep("AML",10))); cl <- factor(cl) model <- naiveBayes(train,cl);

Hello All, I am new to R and want to use R to scale my data before analysis. I need to do two fold scaling: a). scale on a per object (chip) basis, scale to a mean of 0 and stddev to 1; b). scale on a per feature basis: scale data linearly to the interval [0,1]. Could somebody help me with this? Thanks a lot, Jas __________________________________

Hello! Just want to get some suggestions on which R package is good for analyzing time course microarray data. Thank you so much for your input! Sincerely, Allen [[alternative HTML version deleted]]

Dear all, i have microarray data of 3 classes of patients. It's not a time course experiment only steady state. I used a rule-based method to classify the groups by the expression of the genes. This works out so far. Nevertheless I want to check my results with an other method. Therefore I look for one and want to ask you, what you suggest. I have 3 different patient groups, only the steady

Full_Name: Eric Libby Version: 2.1.1 OS: OS Tiger Submission from: (NULL) (65.93.158.117) I am trying to analyze microarray data of 42 human arrays. I typed in the following instructions: library(affy) Data <-ReadAffy() eset <- expresso(Data, normalize.method="invariantset", bg.correct=FALSE, pmcorrect.method="pmonly",summary.method="liwong") And I get some

3rd Millennium is announcing the release of its award winning Array Repository and Data Analysis System (ARDAS) version 2. ARDAS is a web-enabled enterprise software system that provides a complete and fully integrated solution to microarray data acquisition, management, and analysis. ARDAS includes three main modules: 1- A Laboratory Information Management System (LIMS) 2- A repository and data

Hi, concerning my earlier mail, maybe someone has noted from the variable names that I try to analyse mircoarrary experiments. Does anybody know of a R-implementation of the two-step mixed-model normalization procedure proposed by Wolfinger et al. (2001) J. Comput. Biol. 8:625-637? That would be great, best, joerg

Prof. Javier Cabrera will be giving the online course "DNA Microarray Data Analysis" from Jan. 28 - Feb. 25 at statistics.com. Dr. Cabrera is co-author of "Exploration and Analysis of DNA Microarray and Protein Array Data" (the course text; Wiley) and has published a number of articles on gene expression data analysis, data mining and multivariate methods in leading

Analysis of Microarray Data Using S-PLUS, R and S+ArrayAnalyzer 23rd March 2006 Presenter: Adam Diaz Venue: Insightful UK, Network House, Basing View, Basingstoke, Hants RG21 4HG This is the last chance to register for this unique course being run by a member of Insightful's microarray development team from the US. Extract Microarray technology is complex, and experiments using

Hi, I am beginning to learn R and have a data table that I would like to produce a microarray-like plot. The table looks like this: 3 0 0 3 -377.61 1.94 3 0 0 3 -444.80 2.36 2 1 0 3 -519.60 2.39 1 1 1 3 -54.88 2.49 2 1 1 4 -536.55 2.53 1 0 1 2 108.29 2.62 2 0 0 2 39.56 2.62 3 0 1 4 108.32 2.63 2 0 0 2 -455.23 2.84 1 0 0 1 -432.30 2.98 ... I would like to assign colors to the first three columns

Dear Listers: Currently I am doing a research using a microarray data. I have two questions and hope I can get some help from here: 1. I have a dataset like the following, in which V1 is geneid, v3...are the fold changes of expression levels for different patients. There are multiple probes for one gene, so there are multiple rows. You can see from column V11 and V13, the fold changes are very

Dear R-users: I am using the package MAANOVA to analyze microarray data and have encountered problems when trying to get interactions. I am a newbie in both, R and maanova, and I do not have good knowledge in statistical methods. I have four effects: Effects Levels Var 2 Ind 2 Trat 2 Time 4 Sample 3 <-- biological replicate Spot 4 <-- technical replicate I had

Hello, I'm a graduate student in Genetics, who has just started working with R. I have been trying to do a k-means clustering of an expression data compilation, which has lots of NA values in it. As suggested in a couple of earlier posts, I tried using na.omit() and the MICE imputation algorithm to take care of the NA, but they dont seem to work that well. na.omit() deletes the entries,

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Hey So sorry to be a total newbie, but i'm just finding my feet with R. I heard on the grapevine i could recreate a scanned microarray image, or at least get a good graphic of it from a just a data file. I have .txt files for illumina beadarrays but no images cos the service we used didn't send them. The 'beadarray' package seems to require TIFFs to get the graphic output. Does

Is there any package that allow you to perform "MA plot" like graph for Toray microarray data? Unlike Affymetrix CEL file which contain 2 values (R and G), Torray raw data only contain 1 value. MA-plot is Affymetrix specific which usually available for in (limma) package. P. Dubois [[alternative HTML version deleted]]

3rd Millennium is announcing the release of its award winning Array Repository and Data Analysis System (ARDAS) version 2. ARDAS is a web-enabled enterprise software system that provides a complete and fully integrated solution to microarray data acquisition, management, and analysis. ARDAS includes three main modules: 1- A Laboratory Information Management System (LIMS) 2- A repository and data

Hi, I am following the protocol outlined here for analysis of single channel Agilent microarray data: http://matticklab.com/index.php?title=Single_channel_analysis_of_Agilent_microarray_data_with_Limma I keep getting the following error message when using Limma's read.maimages function to load my data into an RGList object: Error in RG[[a]][, i] <- obj[, columns[[a]]] : number of

Hi, May be this helps: ?set.seed(24) ?mydata4<- as.data.frame(matrix(sample(1:100,10*38,replace=TRUE),ncol=38)) ?dim(mydata4) #[1] 10 38 ?library(matrixStats) res<-do.call(cbind,lapply(1:400, function(i) {permutation<-sample(mydata4); (rowMeans(permutation[,1:27])-rowMeans(permutation[,28:38]))/(rowSds(permutation[,1:27])+rowSds(permutation[,28:38]))} )) ?dim(res) #[1]? 10 400 A.K.