get_hub_degree: Determine hub genes based on degree
In GWENA: Pipeline for augmented co-expression analysis

Description Usage Arguments Details Value Examples

Remove edges from the graph which value is under weight_th then compute degree of each node (gene). Hub gene are genes whose degree value is above average degree value of the thresholded network.

1	get_hub_degree(network, modules = NULL, weight_th = 0.2)

`network`	matrix or data.frame, square table representing connectivity between each genes as returned by build_net. Can be whole network or a single module.
`modules`	list, modules defined as list of gene vectors. If null, network is supposed to be the whole network or an already split module
`weight_th`	decimal, weight threshold under or equal to which edges will be removed

GWENA natively build networks using WGCNA. These networks are complete in a graph theory sens, meaning all nodes are connected to each other. Therefore a threshold need to be applied so degree of all nodes isn't the same.

A list of vectors, or single vector of gene names

mat <- matrix(runif(40*40), 40)
colnames(mat) <- paste0("gene_", seq_len(ncol(mat)))
rownames(mat) <- paste0("gene_", seq_len(nrow(mat)))
get_hub_degree(mat)