search for: mrnas

...nrow(dat.m),sep="")) cr2 <- cor.test(as.numeric(dat.mi[i,]),as.numeric(dat.m[k,])) cr <- c(cr,cr2$estimate) pv <- c(pv,cr2$p.value) } cor.mat <- cbind(cor.mat,as.vector(cr)) pval.mat <- cbind(pval.mat,as.vector(pv)) } The columns in the output represent miRNAs and the rows mRNAs. The code works fine but takes ages (about an 1.5h for generating a 169x20043 matrix) so I wonder if there is a more efficient way of doing this calculation? Best wishes Kristian ________________________________ Helmholtz Zentrum M?nchen Deutsches Forschungszentrum f?r Gesundheit und Umwelt (Gmb...

Hi there, I was trying to fit this dataset into LR model. This dataset includes 18 normal and 17 cancer. There are totally 14 markers (7 mRNAs and 7 Proteins). When I fitted into LR model, R gave me warning: Warning messages: 1: algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, 2: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights,...

...sing scripts. 1. Description of the data 1.1. there are 5 text files, each of which contains cleaned data for the same 100 SNPs. Observations (e.g., position on gnome, alelle type, ...) for SNPs are rows ordered by the SNP numbers, 1.2. there are 1 text file, containing the expression level of mRNAs 9 (and other information), which are rows ordered by mRNA numbers, So for each SNP the sample size is 5. 2. Description of aim Take SNP 1 and mRNA 1 for example. Write a scrip that can 2.1 extract row 1 from each of the 5 text files for SNP data 2.2 extract row 1 from the mRNA text file 2.3 r...

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >