filterHighPNormals {infercnv} | R Documentation |
The following function will filter the HMM identified CNV's by the CNV's posterior probability of belonging to a normal state identified by the function inferCNVBayesNet(). Will filter CNV's based on a user desired threshold probability. Any CNV with a probability of being normal above the threshold will be removed.
filterHighPNormals(MCMC_inferCNV_obj, HMM_states, BayesMaxPNormal)
MCMC_inferCNV_obj |
MCMC infernCNV object. |
HMM_states |
InferCNV object with HMM states in expression data. |
BayesMaxPNormal |
Option to filter CNV or cell lines by some probability threshold. |
Returns a list of (MCMC_inferCNV_obj, HMM_states) With removed CNV's.
data(mcmc_obj) mcmc_obj_hmm_states_list <- infercnv::filterHighPNormals( MCMC_inferCNV_obj = mcmc_obj, HMM_states = HMM_states, BayesMaxPNormal = 0.5)