cell-specific markers

Description Usage Arguments Details Value Examples

This function estimates p-values by aggregating weighted permutations.

1	pvalueWeightedEst(tt, ttperm, w)

`tt`	a vector of test statistics.
`ttperm`	a matrix of test statistics from permutations. Rows correspond to probes and columns to one permutation.
`w`	a matrix containing weights for each spot in `ttperm`. Provided by `postProbNull`.

P-values are estimated by weightedly accumulating test statistics from permutations that are larger than observations

p-values.

#generate some example data
t.obs <- rnorm(100)
t.perm <- matrix(rnorm(100*1000),nrow=100)
w <- matrix(runif(100*1000),nrow=100)

pv <- pvalueWeightedEst(t.obs, t.perm, w)