I think the explanatory text associated with the similarity calculations might be a bit wrong.
For uniqueness, we say
This is simply a reflection of the IC normalized based on the maxIC.
IC(PhenotypeInCommon)maxIC(AllPhenotypes)
I think there should be a division between those factors, not a mulitplication, so it should read...
IC(PhenotypeInCommon)/maxIC(AllPhenotypes)
Similarly, for ratio, we have
Ratio(q) is the proportion of shared information between a query phenotype and the phenotype-in-common with the target. ratio(q)=IC(lcs)IC(q)_100
_Ratio(t)<\/b> is the proportion of shared information between the target phenotype and the phenotype-in-common with the query. ratio(t)=IC(lcs)IC(t)100
Again, it seems that terms should be divided to give us ratio(q)=IC(lcs)/IC(q) * 100 and similar for ratio (t).
@cmungall , are my interpretations correct? thanks.
I think the explanatory text associated with the similarity calculations might be a bit wrong.
For uniqueness, we say This is simply a reflection of the IC normalized based on the maxIC. IC(PhenotypeInCommon)maxIC(AllPhenotypes)
I think there should be a division between those factors, not a mulitplication, so it should read...
IC(PhenotypeInCommon)/maxIC(AllPhenotypes)
Similarly, for ratio, we have Ratio(q) is the proportion of shared information between a query phenotype and the phenotype-in-common with the target. ratio(q)=IC(lcs)IC(q)_100 _Ratio(t)<\/b> is the proportion of shared information between the target phenotype and the phenotype-in-common with the query. ratio(t)=IC(lcs)IC(t)100
Again, it seems that terms should be divided to give us ratio(q)=IC(lcs)/IC(q) * 100 and similar for ratio (t).
@cmungall , are my interpretations correct? thanks.