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Using random forests for assistance in the curation of G-protein coupled receptor databases

Autor
Shkurin, A.; Vellido, A.
Tipus d'activitat
Article en revista
Revista
Biomedical engineering online
Data de publicació
2017-08-18
Volum
16
Número
Supplement 1
Pàgina inicial
1
Pàgina final
21
DOI
https://doi.org/10.1186/s12938-017-0357-4 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/108838 Obrir en finestra nova
URL
https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-017-0357-4 Obrir en finestra nova
Resum
Background: Biology is experiencing a gradual but fast transformation from a laboratory-centred science towards a data-centred one. As such, it requires robust data engineering and the use of quantitative data analysis methods as part of database curation. This paper focuses on G protein-coupled receptors, a large and heterogeneous super-family of cell membrane proteins of interest to biology in general. One of its families, Class C, is of particular interest to pharmacology and drug design. Thi...
Citació
Shkurin, A., Vellido, A. Using random forests for assistance in the curation of G-protein coupled receptor databases. "Biomedical engineering online", 18 Agost 2017, vol. 16, suplement 1, p. 1-21.
Paraules clau
Database curation, G-Protein coupled receptors, Machine learning, Random forests
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

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