GroupSim_SimCHO
GroupSim_SimCHO(dag, group1, group2, verbose = simona_opt$verbose)
It is based on the annotated items. Denote sigma(t)
as the total annotated items of t
. The similarity is calculated as
= log(C/sigma_max)/log(sigma_min/sigma_max) group_sim
where C
is min(sigma_{x in intersect(A, B)}(x))
, i.e., the minimal sigma in the intersection of group1 and group2. Note
Now A
and B
are just two sets of terms in group1
and group2
.
sigma_max
is the total number of items annotated to the DAG, sig_min
is the minimal number of items annotated to a term, which
is mostly 1.