significant_genes: Selecting significant genes according to fdr result
In yycode/DNLC: Differential Network Local Consistency Analysiss

Description Usage Arguments Value Examples

Choose the significant genes according to fdr result

1	significant_genes(fdr_obj, thres)

`fdr_obj`	fdr result come from function gene_fdrtest
`thres`	threshold to identify significant genes

ID of significant genes

## 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)