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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