Cargando…
Semantic Similarity for Automatic Classification of Chemical Compounds
With the increasing amount of data made available in the chemical field, there is a strong need for systems capable of comparing and classifying chemical compounds in an efficient and effective way. The best approaches existing today are based on the structure-activity relationship premise, which st...
Autores principales: | Ferreira, João D., Couto, Francisco M. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944781/ https://www.ncbi.nlm.nih.gov/pubmed/20885779 http://dx.doi.org/10.1371/journal.pcbi.1000937 |
Ejemplares similares
-
Improving chemical entity recognition through h-index based semantic similarity
por: Lamurias, Andre, et al.
Publicado: (2015) -
Multi-domain semantic similarity in biomedical research
por: Ferreira, João D., et al.
Publicado: (2019) -
Enhancement of Chemical Entity Identification in Text Using Semantic Similarity Validation
por: Grego, Tiago, et al.
Publicado: (2013) -
Hybrid Semantic Recommender System for Chemical Compounds
por: Barros, Márcia, et al.
Publicado: (2020) -
Hybrid semantic recommender system for chemical compounds in large-scale datasets
por: Barros, Marcia, et al.
Publicado: (2021)