| get_sim_p_from_ontology {ontologySimilarity} | R Documentation | 
Get similarity p-value for subgroup term sets
Description
Compute a similarity p-value by permutation for subgroup of a list of term sets
Usage
get_sim_p_from_ontology(
  ontology,
  term_sets,
  information_content = descendants_IC(ontology),
  term_sim_method = "lin",
  combine = "average",
  ...
)
Arguments
| ontology | 
 | 
| term_sets | List of character vectors of ontological term IDs. | 
| information_content | Numeric vector of information contents of terms (named by term) | 
| term_sim_method | Character string equalling either "lin" or "resnik" to use Lin or Resnik's expression for the similarity of terms. | 
| combine | Character string - either "average" or "product", indicating whether to use the best-match-product' method, or function accepting two arguments - the first, the similarity matrix obtained by averaging across term sets in  | 
| ... | Other arguments to be passed to  | 
Value
Numeric value.
See Also
[Package ontologySimilarity version 2.7 Index]