An implementation of module detection procedure in network based on Topological Overlap Matrix (TOM), which in addition incorporates with numeric attribute of vertices (represented as vertex heat) by assigning edge weight as the heat similarity of linked vertices. Heat diffusion (random walk) is implemented to smoothen heat difference of neighboring vertices to reduce noise. The method was initially designed to analyze human protein-protein interaction (PPI) network to identify functional modules which are related to neuron maturation. Heat of each vertex was represented as its expression level difference between mature and immature neurons.
Package details |
|
---|---|
Maintainer | |
License | GPL-2 |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.