Closed antonkratz closed 4 years ago
Hi Anton!
Thanks for the question. The method is described in some detail in the online methods of this paper in the Ontology alignment section. Let me know if it’s not clear with the more thorough written explanation. (Section starts with “Given two ontologies, O1 with n1 terms and O2with n2 terms, an ontology alignment A is a mapping of terms between ontologies...”).
Michael
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654867/#!po=0.793651
On Jan 16, 2020, at 10:52 AM, Anton Kratz notifications@github.com wrote:
How exactly is the score (in column 3) calculated?
I do not find an explanation in the documentation of this repo; I do find some explanation from the paper:
2.3.1 Ontology alignment "Term mapping in our alignment procedure is evaluated using a score function that considers the similarity of the sets of genes assigned to terms (intrinsic similarity) and the similarity of the ontology hierarchy surrounding each term (relational similarity). Each pair of terms which is aligned receives an alignment score ranging from 0 to 1 where 1 represents identity in both intrinsic and relational similarity."
Still, it is not clear how this score is calculated exactly - how does it consider the similarity etc?
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Thank you Michael, there is indeed a very thorough explanation! I was somehow fixated on the idea that the explanation is in the "Inferring gene ontologies from pairwise similarity data" paper, didn't even consider looking in the "A gene ontology inferred from molecular networks" paper (where it is). This clarifies the score formula! Thanks and closing this issue.
How exactly is the score (in column 3) calculated?
I do not find an explanation in the documentation of this repo; I do find some explanation from the paper:
Still, it is not clear how this score is calculated exactly - how does it consider the similarity etc?