Table 1 The pseudocode for conducting DC gene search on the network

Input: G (gene network), M (expression matrix), y (clinical outcome vector), T (local fdr threshold), C (confounder matrix)

Output: Collection of DC genes: S

Standardize each row of M

Local Moran’s I Matrix I = Local _ Moran _ I(G, M)

For each node i in  G do

t_i = t statistic from generalized linear model y~I_i + C

End for

Fit {t_i}_{i = 1, …, p} to mixture model using local fdr to find {lfdr_i}_{i = 1, …, p}

S = {i : lfdr_i ≤ T}

Return S