Collaborative Evaluation of GO-based Semantic Similarity Measures (CESSM)

An online tool for the automated evaluation of GO-based semantic similarity measures, that enables the comparison of new measures against previously published ones in terms of performance against sequence, Pfam and EC similarity. CESSM's database contains data from GO, GOA, and UniProt that is used for semantic, sequence, EC class and Pfam family similarity calculations.

Data and Resources

Cite this as

Catia Pesquita, Delphine Pessoa, Daniel Faria, Francisco M. Couto, Carlota Cardoso, Rita Sousa (2024). Dataset: Collaborative Evaluation of GO-based Semantic Similarity Measures (CESSM). https://doi.org/10.57702/bgws4v8s

DOI retrieved: April 19, 2024

Additional Info

Field Value
Created April 19, 2024
Last update April 19, 2024
License notspecified: License not specified
Source https://github.com/liseda-lab/kgsim-benchmark/tree/master
Author Catia Pesquita
More Authors
Delphine Pessoa
Daniel Faria
Francisco M. Couto
Carlota Cardoso
Rita Sousa
Author Email Catia Pesquita
citations https://doi.org/10.1145/2993318.2993343