get_hub_high_co {GWENA} | R Documentation

## Determine hub genes based on connectivity

### Description

Compute connectivity of each gene by module if provided or for whole network if not, and return the top_n highest connected ones.

### Usage

    get_hub_high_co(network, modules = NULL, top_n = 5)

### Arguments

`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
`top_n` | integer, number of genes to be considered as hub genes

### Value

A list of vectors, or single vector of gene names

### Examples

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

[Package GWENA version 1.0.1 Index]