marginal.analysis.Rd
Different p-values are produced for each gene set using a different statistical procedure and a randomization distribution. The p-values obtained are used to test the self-contained hypothesis of gene set diffferential expression
marginal.analysis(df, y, test, orness, nsim = 100, method = "dbinom", type = "within-pair", is.decreasing = FALSE, to.save = FALSE, foutput = "marginal.analysis.rda")
df | Count matrix |
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y | Vector giving the pairs of columns |
test | Function comparing counts within each pair |
orness | Orness |
nsim | Number of simulations |
method | Method to generate the orness values. See owa.weights. |
type | Randomization distribution to generate random pairs |
is.decreasing | The values to aggregated should decreasing ordered |
to.save | Is to be saved in |
foutput | Output file |