DNLC_statistics {DNLC}

calculate t statistics for gene graph using DNLC method.

Description

a function to calculate t statistics for genes in the graph.

Usage

DNLC_statistics(gene_graph, gene_expr = "x", clinic_data = "y", 
    confounder_matrix = NULL, lmi_data = NULL)

Arguments

gene_graph

graph of gene

gene_expr

expr of gene

clinic_data

patient data

confounder_matrix

other message describe clinic message

lmi_data

lmi data for each gene.

Details

This function first calculates the matrix of local moran's I, and then conducts testing for the association of each gene's local moran's I with the clinical outcome variable. Clinical confounder variables such as age, gender etc can be included.

Value

all_gene_id

gene ids in graph

t_data

t-data for each gene

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)