module.roles: Module roles

Description Usage Arguments Author(s) References Examples

Description

This function assigns roles to features identified in sub communities using two metrics that is: within-module degree which measures how well a particular feature is connected to others in the same subcommunity (module.) The second metric is among-module connectivity which measures how a feature is linked to other modules in the network. Features are classified as ultra peripherals, peripherals, provincial, connectors, kinless, module hubs, or non hubs.

Usage

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module.roles(comm_graph)

Arguments

comm_graph

: Graph object returned by 'co_occurence_network' function.

Author(s)

Alfred Ssekagiri assekagiri@gmail.com, Umer Zeeshan Ijaz Umer.Ijaz@glasgow.ac.uk

References

http://userweb.eng.gla.ac.uk/umer.ijaz/, Umer Ijaz, 2015

Guimera, Roger, and Luis A Nunes Amaral. 2005. “Functional Cartography of Complex Metabolic Networks.” Nature 433 (7028). NIH Public Access: 895.

Examples

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taxa.roles <- module.roles(g)
p <- plot_roles(taxa.roles)
print(p)

umerijaz/microbiomeSeq documentation built on May 30, 2019, 3:13 p.m.