Description Usage Arguments Value Examples
Save the edge list, group index of each gene and plot the top groups
1 | save_gnet(gnet_result, save_path = ".", num_module = 10, max_gene_num = 100)
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gnet_result |
Results returned by gnet(). |
save_path |
path to save files |
num_module |
The number of modules with highest score to plot. |
max_gene_num |
The max number of genes to show in the heatmap. |
None
1 2 3 4 5 6 7 8 9 10 | set.seed(1)
init_group_num = 5
init_method = 'boosting'
exp_data <- matrix(rnorm(50*10),50,10)
reg_names <- paste0('TF',1:5)
rownames(exp_data) <- c(reg_names,paste0('gene',1:(nrow(exp_data)-length(reg_names))))
colnames(exp_data) <- paste0('condition_',1:ncol(exp_data))
se <- SummarizedExperiment::SummarizedExperiment(assays=list(counts=exp_data))
gnet_result <- gnet(se,reg_names,init_method,init_group_num)
save_gnet(gnet_result)
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