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

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

Abstract 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-cou...

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Bibliographic Details
Main Authors: Aleksei Shkurin, Alfredo Vellido
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BioMedical Engineering OnLine
Subjects:
G-Protein coupled receptors
Machine learning
Random forests
Database curation
Online Access:http://link.springer.com/article/10.1186/s12938-017-0357-4

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