Loading...
Loading...

Go to the content (press return)

Misclassification of class C G-protein-coupled receptors as a label noise problem

Author
König, C.; Vellido, A.; Alquezar, R.; Giraldo, J.
Type of activity
Presentation of work at congresses
Name of edition
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Date of publication
2014
Presentation's date
2014-04-25
Book of congress proceedings
ESANN 2014: 22st European Symposium on Artificial Neural Networks, Computational Intelligence And Machine Learning: Bruges April 23-24-25, 2014: proceedings
First page
695
Last page
700
Repository
http://hdl.handle.net/2117/78401 Open in new window
URL
https://www.elen.ucl.ac.be/esann/proceedings/papers.php?ann=2014 Open in new window
Abstract
G-Protein-Coupled Receptors (GPCRs) are cell membrane proteins of relevance to biology and pharmacology. Their supervised classification in subtypes is hampered by label noise, which stems from a combination of expert knowledge limitations and lack of clear correspondence between labels and different representations of the protein primary sequences. In this brief study, we describe a systematic approach to the analysis of GPCR misclassifications using Support Vector Machines and use it to assist...
Citation
König, C., Vellido, A., Alquezar, R., Giraldo, J. Misclassification of class C G-protein-coupled receptors as a label noise problem. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "ESANN 2014: 22st European Symposium on Artificial Neural Networks, Computational Intelligence And Machine Learning: Bruges April 23-24-25, 2014: proceedings". Bruges: 2014, p. 695-700.
Keywords
GPCR classification SVM label noise
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing
VIS - Artificial Vision and Intelligent Systems

Participants

Attachments