The goal of iBag is to Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand the complex biological processes that characterize a disease, as well as how these processes relate to the development of the disease.
You can install the released version of iBag from github with:
This is a basic example which shows you how to solve a common problem:
library(iBag) #fit mechanistic model M<-mechmodel(meth,mrna,cnv,dsurv) NRUNS=1000 delta=0.05 #bart clinical model c_bart<-clinicalmodel_survbart(M,nruns,delta) c_bart$ #linear clinical model c_linear<-clinicalmodel_linear(M,nruns,delta)
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