Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors

Autor
Koenig, C.; Cardenas, M.; Giraldo, J.; Alquezar, R.; Vellido, A.
Tipus d'activitat
Article en revista
Revista
BMC bioinformatics
Data de publicació
2015-09-29
Volum
16:314
Pàgina inicial
1
Pàgina final
14
DOI
https://doi.org/10.1186/s12859-015-0731-9 Obrir en finestra nova
Projecte finançador
Adquisición de conocimiento en farmacoproteomica mediante métodos avanzados de inteligencia artificial (KAPPA AIM)
Repositori
http://hdl.handle.net/2117/78745 Obrir en finestra nova
URL
http://www.biomedcentral.com/1471-2105/16/314/ Obrir en finestra nova
Resum
Background: The characterization of proteins in families and subfamilies, at different levels, entails the definition and use of class labels. When the adscription of a protein to a family is uncertain, or even wrong, this becomes an instance of what has come to be known as a label noise problem. Label noise has a potentially negative effect on any quantitative analysis of proteins that depends on label information. This study investigates class C of G protein-coupled receptors, which are cell m...
Citació
Koenig, C., Cardenas, M., Giraldo, J., Alquezar, R., Vellido, A. Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors. "BMC bioinformatics", 29 Setembre 2015, vol. 16:314, p. 1-14.
Paraules clau
G Protein-coupled receptors, Label noise, Phylogenetic trees, Support vector machines
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing
VIS - Visió Artificial i Sistemes Intel.ligents

Participants

Arxius