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 1.10.0 Index]