sigmoidAdjacencyFunction {WGCNA} | R Documentation |
Sigmoid-type adacency function.
Description
Sigmoid-type function that converts a similarity to a weighted network adjacency.
Usage
sigmoidAdjacencyFunction(ss, mu = 0.8, alpha = 20)
Arguments
ss |
similarity, a number between 0 and 1. Can be given as a scalar, vector or a matrix. |
mu |
shift parameter. |
alpha |
slope parameter. |
Details
The sigmoid adjacency function is defined as 1/(1+\exp[-\alpha(ss - \mu)])
.
Value
Adjacencies returned in the same form as the input ss
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
[Package WGCNA version 1.72-5 Index]