sigmoidAdjacencyFunction: Sigmoid-type adacency function.
In WGCNA: Weighted Correlation Network Analysis
sigmoidAdjacencyFunction 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
WGCNA documentation built on Sept. 18, 2024, 5:08 p.m.
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| sigmoidAdjacencyFunction | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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