View source: R/Evaluation_func.R
| trace_plots | R Documentation | 
trace_plots Create trace plots of MCMC simulation and filter low reliable
edges based on the edge_freq_thres parameter.
Defines the resulting network structure and determines the color scale
for each modality.
trace_plots( mcmc_res, burn_in, thin, figures_dir, gene_annot, PK, OMICS_mod_res, edge_weights = "MCMC_freq", edge_freq_thres = NULL, gene_ID, TFtargs )
mcmc_res | 
 list output from the BN_module function.  | 
burn_in | 
 numeric vector the minimal length of burn-in period of the MCMC simulation.  | 
thin | 
 numeric vector thinning frequency of the resulting MCMC simulation.  | 
figures_dir | 
 character vector the path of the folder to save figures.  | 
gene_annot | 
 data.frame containing the entrez ID and corresponding gene symbol for conversion.  | 
PK | 
 data.frame with known interactions.  | 
OMICS_mod_res | 
 list output from the OMICS_module function.  | 
edge_weights | 
 character vector includes either "MCMC_freq" to reflect the edge weights frequency over the final set of network structures or "empB" to reflect the empirical biological knowledge estimated by IntOMICS.  | 
edge_freq_thres | 
 numerical vector the quantile of all edge weights used to filter the most reliable edges.  | 
gene_ID | 
 character vector includes either "gene_symbol" or "entrezID" to reflect gene identifiers used in the final figure.  | 
TFtargs | 
 matrix containing the direct interactions between TFs (columns) and their targets (rows).  | 
List of 7 elements needed to plot the final regulatory network
data(list=c("PK", "TFtarg_mat", "annot", "gene_annot", "layers_def",
"omics"), package="IntOMICS")
OMICS_mod_res <- OMICS_module(omics = omics, PK = PK, annot = annot, 
       layers_def = layers_def, TFtargs = TFtarg_mat,
       r_squared_thres = 0.3, lm_METH = TRUE)
BN_mod_res <- BN_module(burn_in = 100000, thin = 500, len = 5, 
       OMICS_mod_res = OMICS_mod_res, minseglen = 50000, prob_mbr = 0.07)
res_weighted <- trace_plots(mcmc_res = BN_mod_res, figures_dir = "figures/", 
       burn_in = 100000, thin = 500, gene_annot = gene_annot, 
       PK = PK, OMICS_mod_res = OMICS_mod_res, gene_ID = "gene_symbol", 
       edge_freq_thres = 0.3, TFtargs = TFtarg_mat) 
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