View source: R/Evaluation_func.R
| empB_heatmap | R Documentation | 
empB_heatmap plot a heatmap with empB - B values (depicts the difference
between prior knowledge and the empirical knowledge)
empB_heatmap(mcmc_res, OMICS_mod_res, gene_annot, TFtargs)
mcmc_res | 
 list output from the BN_module function.  | 
OMICS_mod_res | 
 list output from the OMICS_module function.  | 
gene_annot | 
 data.frame containing the entrez ID and corresponding gene symbol for conversion.  | 
TFtargs | 
 matrix containing the direct interactions between TFs (columns) and their targets (rows).  | 
Figure heatmap
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)
empB_heatmap(mcmc_res = BN_mod_res, OMICS_mod_res = OMICS_mod_res, 
    gene_annot = gene_annot, TFtargs = TFtarg_mat)
            
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