R: Amendment of a CNA Network According To A Input Community...

network.amendment {bio3d} | R Documentation

## Amendment of a CNA Network According To A Input Community Membership Vector.

### Description

This function changes the ‘communities’ attribute of a ‘cna’ class object to match a given membership vector.

### Usage

      network.amendment(x, membership, minus.log=TRUE)

### Arguments

`x` | A protein network graph object as obtained from the ‘cna’ function.
`membership` | A numeric vector containing the new community membership.
`minus.log` | Logical. Whether to use the minus.log on the cij values.

### Details

This function is useful, in combination with ‘community.tree’, for inspecting different community partitioning options of a input ‘cna’ object. See examples.

### Value

Returns a ‘cna’ class object with the attributes changed according to the membership vector provided.

### Author(s)

Guido Scarabelli

### See Also

`cna`, `community.tree`, `summary.cna`

### Examples

    # PDB server connection required - testing excluded

    if (!requireNamespace("igraph", quietly = TRUE)) {
       message('Need igraph installed to run this example')
    } else {

    ##-- Build a CNA object
    pdb <- read.pdb("4Q21")
    modes <- nma(pdb)
    cij <- dccm(modes)
    net <- cna(cij, cutoff.cij=0.2)

    ##-- Community membership vector for each clustering step
    tree <- community.tree(net, rescale=TRUE)

    ## Produce a new k=7 membership vector and CNA network
    memb.k7 <- tree$tree[ tree$num.of.comms == 7, ]
    net.7 <- network.amendment(net, memb.k7)

    plot(net.7, pdb)

    print(net)
    print(net.7)

    }

[Package bio3d version 2.4-2 Index]