Congress detail

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

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

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.

Meeting type: Congreso.

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

Scientific meeting: XXI CONGRESO ARGENTINO DE BIOINGENIERÍA - SABI 2017.

Meeting place: Cordoba.

It's published?: No

Meeting month: 10

Year: 2017.