#!/usr/bin/env Rscript
suppressPackageStartupMessages(library("argparse"))
parser = ArgumentParser()
parser$add_argument("--prelim_infercnv_obj", help="preliminary infercnv_obj file", required=TRUE, nargs=1)
parser$add_argument("--i6HMM_infercnv_obj", help="i6HMM infercnv_obj file", required=TRUE, nargs=1)
parser$add_argument("--BayesMaxPNormal", help="BayesMaxPNormal", required=TRUE, nargs=1, type='double')
parser$add_argument("--out_dir", help="output directory", required=TRUE, nargs=1)
args = parser$parse_args()
library(infercnv)
library(futile.logger)
infercnv_obj_prelim = readRDS(args$prelim_infercnv_obj)
hmm.infercnv_obj = readRDS(args$i6HMM_infercnv_obj)
flog.info("Running Bayesian Network Model on HMM predicted CNV's\n")
hmm.infercnv_obj <- infercnv::inferCNVBayesNet(infercnv_obj = infercnv_obj_prelim,
HMM_obj = hmm.infercnv_obj,
BayesMaxPNormal = args$BayesMaxPNormal,
file_dir = args$out_dir,
postMcmcMethod = "removeCNV",
out_dir = file.path(args$out_dir, "BayesNetOutput"),
quietly = TRUE)
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