A non-deterministic grammar inference algorithm applied to the cleavage site prediction problem in bioinformatics

Gloria Inés Alvarez, Jorge Hernán Victoria, Enrique Bravo, Pedro García

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2 Citas (Scopus)

Resumen

We report results on applying the OIL (Order Independent Language) grammar inference algorithm to predict cleavage sites in polyproteins from translation of Potivirus genome. This non-deterministic algorithm is used to generate a group of models which vote to predict the occurrence of the pattern. We built nine models, one for each cleavage site in this kind of virus genome and report sensibility, specificity, accuracy for each model. Our results show that this technique is useful to predict cleavage sites in the given task with accuracy rates higher than 95%.

Idioma originalInglés
Título de la publicación alojadaGrammatical Inference
Subtítulo de la publicación alojadaTheoretical Results and Applications - 10th International Colloquium, ICGI 2010, Proceedings
Páginas267-270
Número de páginas4
DOI
EstadoPublicada - 2010
Evento10th International Colloquium on Grammatical Inference, ICGI 2010 - Valencia, Espana
Duración: 13 sep. 201016 sep. 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen6339 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th International Colloquium on Grammatical Inference, ICGI 2010
País/TerritorioEspana
CiudadValencia
Período13/09/1016/09/10

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