pRewiringPosterior: Computing posterior probability - ploss and pgain

In omarwagih/rmimp: Predicting the impact of mutations on kinase-substrate phosphorylation

Description

Computing posterior probability - ploss and pgain

Usage

pRewiringPosterior(wt.scores, mt.scores, fg.params, bg.params, auc = 1,
  intermediate = F)

Arguments

wt.scores	Wild type score
mt.scores	Mutant score
fg.params	Distribution parameters of GMMs (foreground). This is precomputed and comes built into mimp.
bg.params	Distribution parameters of GMMs (background). This is precomputed and comes built into mimp.
auc	AUC of the model. This is precomputed and comes built into mimp.
intermediate	If TRUE, intermediate likelihoods used to compute ploss and pgain is returned. Otherwise only ploss and pgain returned

omarwagih/rmimp documentation built on May 18, 2020, 3:11 p.m.