C. Pesquita. page 161--173. Springer New York, New York, NY, (2017)
Abstract
Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS measures based on GO has grown considerably, and their application ranges from functional coherence evaluation, protein interaction prediction, and disease gene prioritization.
%0 Book Section
%1 Pesquita2017
%A Pesquita, Catia
%B The Gene Ontology Handbook
%C New York, NY
%D 2017
%E Dessimoz, Christophe
%E Skunca, Nives
%I Springer New York
%K knowledge matching measures ontology-matching semantic-similarity semantics
%P 161--173
%T Semantic Similarity in the Gene Ontology
%U https://link.springer.com/protocol/10.1007/978-1-4939-3743-1_12
%X Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS measures based on GO has grown considerably, and their application ranges from functional coherence evaluation, protein interaction prediction, and disease gene prioritization.
@inbook{Pesquita2017,
abstract = {Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS measures based on GO has grown considerably, and their application ranges from functional coherence evaluation, protein interaction prediction, and disease gene prioritization.},
added-at = {2019-04-03T20:52:33.000+0200},
address = {New York, NY},
author = {Pesquita, Catia},
biburl = {https://www.bibsonomy.org/bibtex/25344f83b71c111f9803ea49f135d97d4/blasp},
booktitle = {The Gene Ontology Handbook},
editor = {Dessimoz, Christophe and {\v{S}}kunca, Nives},
interhash = {3c6b925ee7fd8520f583bbac0676166a},
intrahash = {5344f83b71c111f9803ea49f135d97d4},
keywords = {knowledge matching measures ontology-matching semantic-similarity semantics},
pages = {161--173},
publisher = {Springer New York},
timestamp = {2019-04-03T20:52:33.000+0200},
title = {Semantic Similarity in the Gene Ontology},
url = {https://link.springer.com/protocol/10.1007/978-1-4939-3743-1_12},
year = 2017
}