get_sim_to_profile_p

Numeric matrix with rows and columns corresponding to (and named by) term IDs, and cells containing the similarity between the row and column term

term_sim_mat

profile

term_set

Character vector of ontological term IDs to sample term sets from

sample_from

Minimum number of simulated group similarities to calculate

min_its

Maximum number of simulated group similarities to calculate

max_its

Threshold p-value of statistical significance

signif

Threshold of log probability, below which to trigger return of current estimated p-value

log_dismiss


Get p-value by comparison of similarity of <code>profile</code> and <code>term_set</code> to distribution of similarities obtained by simulating random term sets (i.e. comprising random sets of terms the same size as <code>term_set</code>) and calculating the similarity to <code>profile</code>.


Functions for calculating semantic similarities between ontological terms or sets of ontological terms based on term information content and assessing statistical significance of similarity in the context of a collection of sets of ontological terms.

get_sim_to_profile_p: Get p-value for best-match-average similarity between two term sets

Description

Usage

Arguments

Value