Description Usage Arguments Details Value Author(s) References
Sigmoid-type function that converts a similarity to a weighted network adjacency.
1 | sigmoidAdjacencyFunction(ss, mu = 0.8, alpha = 20)
|
ss |
similarity, a number between 0 and 1. Can be given as a scalar, vector or a matrix. |
mu |
shift parameter. |
alpha |
slope parameter. |
The sigmoid adjacency function is defined as 1/(1 + exp(-alpha * (ss - mu))).
Adjacencies returned in the same form as the input ss
Steve Horvath
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
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