I have a gene expression matrix n (genes) X p (cases), where n = 8000 and p = 100. I want to fit each gene as univariate in a coxph model, i.e., fitting 8000 models. I do something like this:
res <- apply(data, 1, coxph.func) which takes about 4 min, not bad. But I need to do large numbers of permutations of the data (permuting the columns), for example, 2000, which would take 5 days. I would like to know if there is way to speed this up? Any help appreciated. Xiao-Jun ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
