weightedBMA: Weighted semantic similarity

In waldronlab/BugSigDBStats: BugSigDB Stats and Analysis

Weighted semantic similarity

Description

Incorporation of weights into the computation of semantic similarity

Usage

weightedBMA(
  o,
  ic,
  set1,
  set2,
  weights1 = rep(1, length(set1)),
  weights2 = rep(1, length(set2))
)

Arguments

o	ontology. An object of class ontology_index.
ic	information content. Typically obtained via ontologySimilarity::descendants_IC(o).
set1	character. First term set.
set2	character. Secound term set.
weights1	numeric. Weights for each term of the first term set, ie. must be parallel to set1.
weights2	numeric. Weights for each term of the second term set, ie. must be parallel to set2.

Value

a numeric value expressing semantic similarity between the two input term sets, weighted by the given individual term weights.

waldronlab/BugSigDBStats documentation built on Oct. 21, 2023, 6:11 a.m.