CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
artículos
Título:
Formal modeling of Gene Ontology annotation predictions based on factor graphs
Autor/es:
TAPIA ELIZABETH; BULACIO PILAR; SPETALE FLAVIO EZEQUIEL; ARCE DEBORA; MURILLO JAVIER; PONCE SERGIO
Revista:
Journal of Physics: Conference Series
Editorial:
IOP Publishing
Referencias:
Lugar: London; Año: 2016 vol. 705
ISSN:
1742-6596
Resumen:
Gene Ontology (GO) is a hierarchical vocabulary for gene product annotation. Its synergy with machine learning classification methods has been widely used for the prediction of protein functions. Current classification methods rely on heuristic solutions to check the consistencywith some aspects of the underlying GO structure. In this work we formalize the GO is-a relationship through predicate logic. Moreover, an ontology model based on Forney Factor Graph (FFG) is shown on a general fragment of Cellular Component GO.
