DNLC (version 1.0.0)

init_simulation_gene_net: Create a random network for simulation

Description

This function will create a network for DNLC. This function will change correlation of chosen genes and its one hop neighbor between treatment groups to simulate LMI changes.

Usage

init_simulation_gene_net(base_correlation = 0.4,  change_correlation = 0.8, sample_size = 100, num_gene = 5000, change_gene_num=5)

Arguments

base_correlation

base correlation of network

change_correlation

change correlation for selected genes

sample_size

multi size of patient data

num_gene

gene number in the network

change_gene_num

number of genes around which the correlation structure is to be changed

Value

Examples

## Not run: 
# simulation <- init_simulation_gene_net()
# t_data = DNLC_statistics(simulation$gene_graph, simulation$gene_expr,
#   simulation$patient_matrix, lmi_data = simulation$lmi_matrix)
# fdr_result <- gene_fdrtest(t_data)
# sig_genes <- significant_genes(fdr_obj = fdr_result, thres = 0.2)## End(Not run)