sigmoidAdjacencyFunction | R Documentation |

Sigmoid-type function that converts a similarity to a weighted network adjacency.

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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