plot_tree: Plot the regression tree.

In jianlin-cheng/GNET2: Constructing gene regulatory networks from expression data through functional module inference

Description

Plot the regression tree given the index of a module.

Usage

plot_tree(gnet_result, group_idx)

Arguments

gnet_result	Results returned by gnet().
group_idx	Index of the module.

Value

None

Examples

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)
plot_tree(gnet_result,group_idx=1)

jianlin-cheng/GNET2 documentation built on Oct. 22, 2020, 11:24 p.m.