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R
WGCNA

signumAdjacencyFunction

Hard-thresholding adjacency function

Description

This function transforms correlations or other measures of similarity into an unweighted network adjacency.

Usage

signumAdjacencyFunction(corMat, threshold)

Arguments

corMat

a matrix of correlations or other measures of similarity.

threshold

threshold for connecting nodes: all nodes whose corMat is above the threshold will be connected in the resulting network.

Value

An unweighted adjacency matrix of the same dimensions as the input corMat.

Author(s)

Steve Horvath

References

Bin Zhang and Steve Horvath (2005) "A General Framework for Weighted Gene Co-Expression Network Analysis", Statistical Applications in Genetics and Molecular Biology: Vol. 4: No. 1, Article 17

See Also

adjacency for soft-thresholding and creating weighted networks.

WGCNA

Weighted Correlation Network Analysis

v1.70-3
GPL (>= 2)
Authors
Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Initial release
2021-02-17

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