topKnet {MetNet} | R Documentation

## Return consensus ranks from a matrix containing ranks

### Description

'topKnet' returns consensus ranks depending on the 'type' argument from 'ranks', a matrix containing the ranks per statistical 'model'.

### Usage

    topKnet(ranks, type)

### Arguments

`ranks` | 'matrix' containing the ranks per statistical model (in columns) and per feature pair (in rows)
`type` | 'character', either '"top1"', '"top2"' or '"mean"'

### Details

See Hase et al. (2014) for further details.

### Value

'numeric' 'vector“ with consensus ranks

### Author(s)

Thomas Naake, thomasnaake@googlemail.com

### References

Hase et al. (2014): Harnessing Diversity towards the Reconstructing of Large Scale Gene Regulatory Networks. PLoS Computational Biology, 2013, e1003361, doi: [10.1371/journal.pcbi.1003361](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003361)

### Examples

    ranks <- matrix(c(c(1, 2, 3), c(2, 1, 3)), ncol = 2)

    ## type = "top1"
    MetNet:::topKnet(ranks = ranks, type = "top1")

    ## type = "top2"
    MetNet:::topKnet(ranks = ranks, type = "top2")

    ## type = "mean"
    MetNet:::topKnet(ranks = ranks, type = "mean")

[Package MetNet version 1.6.0 Index]