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Sigmoid-type function that converts a similarity to a weighted network adjacency.
sigmoidAdjacencyFunction(ss, mu = 0.8, alpha = 20)
similarity, a number between 0 and 1. Can be given as a scalar, vector or a matrix.
shift parameter.
slope parameter.
Adjacencies returned in the same form as the input ss
The sigmoid adjacency function is defined as
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