Can we get the results for Student t test and Welch t test by using limma?.
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4 days ago
Minushi • 0

I am new to gene data analysis. Earlier I posted the questions. but I failed to understand the answers(because I have no big knowledge about the analysis of the gene). If we take this code to find the moderate t values, can we find the Student t-test and Welch t-test by using limma?

   gset <- getGEO("GSE116486", GSEMatrix =TRUE, AnnotGPL=TRUE)
if (length(gset) > 1) idx <- grep("GPL570", attr(gset, "names")) else idx <- 1
gset <- gset[[idx]]

# make proper column names to match toptable
fvarLabels(gset) <- make.names(fvarLabels(gset))

# group membership for all samples
gsms <- "0000001000001111111110001111000001000001000110"
sml <- strsplit(gsms, split="")[[1]]

# log2 transformation
ex <- exprs(gset)
qx <- as.numeric(quantile(ex, c(0., 0.25, 0.5, 0.75, 0.99, 1.0), na.rm=T))
LogC <- (qx[5] > 100) ||
(qx[6]-qx[1] > 50 && qx[2] > 0)
if (LogC) { ex[which(ex <= 0)] <- NaN
exprs(gset) <- log2(ex) }

exprs(gset) <- normalizeBetweenArrays(exprs(gset)) # normalize data
exprs(gset)
# assign samples to groups and set up design matrix
gs <- factor(sml)
levels(gs) <- groups
gset\$group <- gs
design <- model.matrix(~group + 0, gset)
colnames(design) <- levels(gs)

fit <- lmFit(gset, design)  # fit linear model

# set up contrasts of interest and recalculate model coefficients
cts <- paste(groups[1], groups[2], sep="-")
cont.matrix <- makeContrasts(contrasts=cts, levels=design)
fit2 <- contrasts.fit(fit, cont.matrix)

# compute statistics and table of top significant genes
fit2 <- eBayes(fit2, 0.01)
tT <- topTable(fit2, adjust="fdr", sort.by="B", number=1400)

new1<-write.table(tT, file=stdout(), row.names=F, sep="\t")
write.csv(tT,file = "dataa2.csv")

t-test limma • 83 views