PANR (version 1.18.0)

SNR2p: Translate p-values to Signal-to-Noise Ratios

Description

The function translate Signal-to-Noise Ratios to p-values based on the fitted mixture model.

Usage

SNR2p(object, SNR, ...)

Arguments

object

an object of S4 class BetaMixture.

SNR

a numeric or integer specifying the SNR to translate

...

not in use, only for further extension.

Value

The function will return a data frame including SNRs, lower and upper quantiles and corresponding p-values.

References

Xin Wang, Mauro Castro, Klaas W. Mulder and Florian Markowetz, Posterior association networks and enriched functional gene modules inferred from rich phenotypic perturbation screens, in preparation.

See Also

SNR2p

Examples

## Not run: 
# data(Bakal2007)
# bm1<-new("BetaMixture", pheno=Bakal2007, model="global", order=1)
# bm1<-fitNULL(bm1, nPerm=10, thetaNULL=c(alphaNULL=4, betaNULL=4),
# 	sumMethod="median", permMethod="all", verbose=TRUE)
# bm1<-fitBM(bm1, para=list(zInit=NULL, thetaInit=c(alphaNeg=2, betaNeg=4, 
# 	alphaNULL=bm1@result$fitNULL$thetaNULL[["alphaNULL"]], 
# 	betaNULL=bm1@result$fitNULL$thetaNULL[["betaNULL"]], 
# 	alphaPos=4, betaPos=2), gamma=NULL), 
# 	ctrl=list(fitNULL=FALSE, tol=1e-1), verbose=TRUE, gradtol=1e-3)
# SNR2p(bm1, SNR=10)
# ## End(Not run)