Detection of global group effect
Tests a global effect for a set of molecular features (e.g. genes, proteins,...) between the two groups of samples. Missing values are allowd in the expression data. Samples of the two groups are supposed to be unpaired.
GlobTestMissing(X1, X2, nperm = 100)
Matrix of expression levels in first group. Rows represent features, columns represent samples.
Matrix of expression levels in second group. Rows represent features, columns represent samples.
Number of permutations.
The p-value of a permutation test.
Klaus Jung Klaus.Jung@ams.med.uni-goettingen.de
1 2 3 4 5 6 7 8 9 10 11
### Global comparison of a set of 100 proteins between two experimental groups, ### where (tau * 100) percent of expression levels are missing. n1 = 10 n2 = 10 d = 100 tau = 0.1 X1 = t(matrix(rnorm(n1*d, 0, 1), n1, d)) X2 = t(matrix(rnorm(n2*d, 0.1, 1), n2, d)) X1[sample(1:(n1*d), tau * (n1*d))] = NA X2[sample(1:(n2*d), tau * (n2*d))] = NA GlobTestMissing(X1, X2, nperm=100)
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.