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.
Value
Adjacencies returned in the same form as the input ss
Details
The sigmoid adjacency function is defined as $1/(1+\exp[-\alpha(ss - \mu)])$.
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