SNR2p {PANR} | R Documentation

## 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.

### Author(s)

Xin Wang xw264@cam.ac.uk

### 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)

[Package PANR version 1.32.0 Index]