heatModules: The automatic procedure to detect modules in the interaction...

Description Usage Arguments Value

Description

This function integrates all steps including missing value imputation, heat diffusion and module detection into an automatic pipeline.

Usage

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heatModules(links = interactions_brain, heat = NULL, force_HD = FALSE,
  fill = "mean", directed = FALSE, beta = 0.55, minSize = 20, ...)

Arguments

links

A two-column matrix or data frame, with each row representing one interaction

heat

A numeric vector representing initial heat of each vectex in the network

force_HD

If there are no more than half of the vertices have known heat, whether the heat diffusion procedure should be applied

fill

A numeric value, character, or function to specialize the way to fill in missing values

directed

Whether the interactions are directed

beta

Insulating parameter between 0 and 1

minSize

The minimum requirement of identified modules

...

Other parameters for 'dynamicTreeCut' in TOM-based module detection

Value

A list with each element representing vertices of one module


maplesword/TOMRwModule documentation built on May 31, 2019, 1:16 p.m.