Score_adjust_PPI: To adjust the score of the selected PPI sub-network using...
In COSINE: COndition SpecIfic sub-NEtwork

Description Usage Arguments Value Author(s) Examples

Randomly sample a large number of node-sets and edge-sets from the background PPI network to derive the null distribution of the scores for subnetworks with certain size, and to compute the adjusted scores for the selected sub-network

1 2	Score_adjust_PPI(scaled_node_score, scaled_edge_score, PPI, lam, subnet, num_random_sampling, best_score)

`scaled_node_score`	The scaled F-statistics of each node(gene) in the network
`scaled_edge_score`	The scaled ECF-statistics of each edge in the network
`PPI`	A matrix with two columns containing the interacting gene pairs
`lam`	The weight parameter lambda used for the selection of this sub-network
`subnet`	A vector of the index of selected genes
`num_random_sampling`	Number of random subnetworks to be sampled
`best_score`	The original score of selected sub-network

The adjusted score of the selected sub-network

Haisu Ma

data(scaled_node_score)
data(scaled_edge_score)
data(PPI)
data(set1_GA)
adj_Score<-Score_adjust_PPI(scaled_node_score,scaled_edge_score,
PPI,lam=0.1,subnet=set1_GA$Subnet[[1]],num_random_sampling=2,
best_score=set1_GA$Best_Scores[1])