OntoQSAR: an Ontology for Interpreting Chemical and Biological Data in Quantitative Structure-Activity Relationship Studies

Bibliographic Details
Title: OntoQSAR: an Ontology for Interpreting Chemical and Biological Data in Quantitative Structure-Activity Relationship Studies
Authors: Angelo, Rafaela M., Io, Andreia K., Almeida, Matheus P., Silveira, Rafael G., Oliveira, Patricia R., Alcazar, Jose J. P., Honorio, Kathia M., Bettanin, Fernanda
Source: 2020 IEEE 14th International Conference on Semantic Computing (ICSC) Semantic Computing (ICSC, 2020 IEEE 14th International Conference on. :203-206 Feb, 2020
Relation: 2020 IEEE 14th International Conference on Semantic Computing (ICSC)
Database: IEEE Xplore Digital Library