similar to: getting error while trying to make dendogram based on gene expression

Dear All, I am trying to make dendogram based on gene expression matrix , but getting some error: I countMatrix = read.table("count.row.txt",header=T,sep='\t',check.names=F) colnames(countMatrix) count_matrix <- countMatrix[,-1] # remove first column (gene names) rownames(count_matrix) <- countMatrix[,1] #added first column gene names as rownames)

There are two line 216 and 218 Three development stages 5 WEEK (5W), 7W, 9W. Three tissue: Ca, Co, Pa each with 2 biological replicate. With two biological replicate. I want to do differential gene expression analysis using DESeq2 so I tried these codes after reading about DESeq2: ,my aim is to do the pairwise comparison. how to make colData and design formula. library("DESeq2")

Dear all, I need to make dendogram from read count in a csv file across 34 samples including biological replicate. Please share R code or package to do this. Do I also need to normalized read count before using read data? Thanks [[alternative HTML version deleted]]

Dear All, I am trying to find a way to plot a dendogram in reverse, that is, if the terminal leaves are labelled 1-10 bottom to top (or left to right), I would like to be able to plot it in a way such that if would display 10-1 bottom to top or left to right. Any idea how to achieve this? Thanks in advance, r. Dr. Rafael Najmanovich European Bioinformatics Institute Wellcome Trust

The data "one" is a vector of 553 observations agglone<-agnes(one, metric = "manhattan", stand = TRUE) plot(agglone,which.plots=2, nmax=150) My problem is in the dendogram, I can not see the nodes because it is too crowded. I have attached the diagram. Any help is more than welcome. Thank you a lot!!!

Hello does anyone know what algorithm is used to produce the hierarchical clustering in the gplots package using the function heatmap.2? I think it may be the complete linkage clustering algorithm, but I can't find a source that seems reliable. Thank you and sorry if I posted this in the wrong place. If I have, please let me know and I will move it to the appropriate list. -- View this

Hi, I have trouble with the heatmap function (package stats). The row labels are wrongly ordered and don't correspond to the Rowv dendrogram. I know there is a bug with the heatmap fonction. Emmanuel Paradis (http://tolstoy.newcastle.edu.au/R/e2/help/07/05/16227.html )suggested a modification to fix it but in my case the row labels are still wrongly ordered. Heatmaps with 2 phylograms have

I am having trouble displaying a dendrogram of evolutionary relationships (a phylogram imported from the ape package) as the vertical component of a heatmap, but keeping the hierarchical clustering of the horizontal component. The relationships of the vertical component in the generated heatmap are not that of the dendrogram, although the ordering is. In more detail, I am attempting to generate

Dear All, I am learning R so it's a very simple problem but I do not understand while I am not able to generate a graph from two vectors. when I type this code, it generates a very nice graph. pdf("mygraph.pdf") > attach(mtcars) > plot(wt,mpg) > abline(lm(mpg~wt)) > title("Regreesion of mpg") > detach(mtcars) > dev.off() But I am trying to create a

I am using R for hierarchical clustering of a number of documents. I have a distance matrix on which I have applied hclust method. When I plot the result of hclust method, I can see the dendogram plotted. What I need now is the dendogram stored as a tree in a data structure. My goal is to automatically label all internal nodes. For that, I need to know, which leaf nodes make a first level

Dear R I recently performed a cluster analysis. It produced the dendogram no problem but unfortunately the font size of the row.names were all cluttered due to their large size So I tried to change the font size using plclust(cluster.results, labels=iris$specie, cex=0.8) and R came back to me saying Error in plclust(cluster.results, labels = iris$specie, cex = 0.8) : unused argument(s)

Dear R-help, I have performed a hierarchical clustering on some data that I have and would like to know some nice ways of visualizing it. I have 2 related questions: i) How to color the labels AND the terminal branch of a dendogram? This is my inelegant way of just getting the colored labels. data(iris) # Formatting data into required format ir <- iris[ ,-5] ir.class <- c(

I have used heatmap to visualize my microarray data. I have a matrix of M-values. I do the following. #The distance between the columns. sampdist <- dist(t(matrix[,]), method="euclidean") sclus <- hclust(sampdist, method="average") #The distance between the rows. genedist <- dist(matrix[,], method="euclidean") gclus <- hclust(genedist,

Hello, I'm not sure this is doable but I'm having trouble running my R script with multithreaded capability. With 16x2.93Ghz CPUs available, only one is running with 100%. Any suggestions? Thanks, Bing My system configuration is: egenera virtual machine running Linux Red Hat Enterprise Linux Server release 5.1 (Tikanga) 16x2.93GHz CUPs 99G memory

I'm doing prediction of the survival cases using gene expression profiles(Affymetrix chips). Can somebody tell me how to use the Cox PH model to select genes and make a prediction of survival? Thanks. Guangchun

Hi all , I'm running Debian Etch . I just finished configuring SAMBA as PDC to authenticate against LDAP server which works. The system in question uses default debian etch packages. As My Linix/unix accounts can authenticate against it. The LDAP works. I Used the default shipped smbldap-populate script to setup SAMBA. Everything seems to work as Anonymous User or as user

Hello, I am a new R user and have a question regarding dendrogram coloring. I would like to color each leaf in the dendrogram (dhc) according to a specific criterion. For me this criterion is the gene name. For this, I created a data.frame with 2 variables: The gene name and the corresponding color. Using the following function, adapted from "dendrapply {stats}", I still have the same

Hi,when I perform SAM on my array data(siggenes)I have some problems in retrieving the separate lists of up regulated and down regulated genes. When I write: fold<-function(x){ gruppi<-split(x,controllo) geni1<-abs(mean(gruppi[[2]])-mean(gruppi[[1]])) return(geni1) } fold<-esApply(expr.contr.tratt.4,1,fold)

Dear all, Is there a way with Bioconductor in which I can convert such EnSemBL probe names into the standard gene names? AFFX-M27830_5_at AFFX-M27830_M_at ENSG00000000003_at ENSG00000000005_at ENSG00000000419_at - Gundala Viswanath Jakarta - Indonesia

Has anybody had issues running MCMC (either BUGS or JAGS) on data sets of this magnitude (ie 30k x 20-30). I've been trying to run a hierarchical random effects model on expression data but R completely stalls out on jobs run on 32bit R on our server (doesn't respond...then eventually crashes out with an exception fault). Would using 64bit R help with JAGS? (As far as I know there's