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Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns

Autor
König, C.; Alquezar, R.; Vellido, A.; Giraldo, J.
Tipus d'activitat
Article en revista
Revista
Journal of integrative bioinformatics
Data de publicació
2014-10-23
Volum
11
Número
3
Pàgina inicial
Paper 254
DOI
10.2390/biecoll-jib-2014-254
Projecte finançador
Adquisición de conocimiento en farmacoproteomica mediante métodos avanzados de inteligencia artificial (KAPPA AIM)
Repositori
http://hdl.handle.net/2117/28347 Obrir en finestra nova
URL
http://journal.imbio.de/article.php?aid=254 Obrir en finestra nova
Resum
G protein-coupled receptors (GPCRs) are a large and heterogeneous superfamily of receptors that are key cell players for their role as extracellular signal transmitters. Class C GPCRs, in particular, are of great interest in pharmacology. The lack of knowledge about their full 3-D structure prompts the use of their primary amino acid sequences for the construction of robust classifiers, capable of discriminating their different subtypes. In this paper, we investigate the use of feature selection...
Citació
König, C. [et al.]. Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns. "Journal of integrative bioinformatics", 23 Octubre 2014, vol. 11, núm. 3.
Paraules clau
G protein-coupled receptors, GPCRs, SVM-based classification, Support vector machine-based classification
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing
VIS - Visió Artificial i Sistemes Intel.ligents

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