Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers

A. Secker, M. N. Davies, A. A. Freitas, E. B. Clark, J. Timmis, D. R. Flower

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

30 Dyfyniadau(SciVal)

Crynodeb

We address the important bioinformatics problem of predicting protein function from a protein's primary sequence. We consider the functional classification of G-Protein-Coupled Receptors (GPCRs), whose functions are specified in a class hierarchy. We tackle this task using a novel top-down hierarchical classification system where, for each node in the class hierarchy, the predictor attributes to be used in that node and the classifier to be applied to the selected attributes are chosen in a data-driven manner. Compared with a previous hierarchical classification system selecting classifiers only, our new system significantly reduced processing time without significantly sacrificing predictive accuracy.

Iaith wreiddiolSaesneg
Tudalennau (o-i)191-210
Nifer y tudalennau20
CyfnodolynInternational Journal of Data Mining and Bioinformatics
Cyfrol4
Rhif cyhoeddi2
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Maw 2010

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