Detalle del congreso

Autores: Spetale Flavio Ezequiel; Tapia Elizabeth; Murillo Javier; Krsticevic Flavia; Ponce Sergio; Angelone Laura; Bulacio Pilar.

Resumen: Prediction of multiple subcellular localizations in proteins brings relevant information for biological function discovery. The use of computational methods based on knowledge can be a helpful starting point for guiding the costly experimental validation. In this work, we present a multilabel classifier framework to perform Gene Ontology - Cellular Component prediction focused on the improvement of two design aspects: i) the protein sequence characterization, regarding biological knowledge with experimental evidence, and ii) the error evaluation by considering a noise model inherent in real prediction frameworks.Our proposal is validated against sets of well-known protein sequences of four model organisms D. rerio, A. thaliana, S. cerevisiae and D. melanogaster.

Tipo de reunión: Congreso.

Producción: Proper integration of feature subsets boosts GO subcellular localization predictions.

Reunión científica: XXI CONGRESO ARGENTINO DE BIOINGENIERÍA - SABI 2017.

Lugar: Cordoba.

Publicado: No

Mes de reunión: 10

Año: 2017.