Grammatical inference applied to linguistic modeling of biological regulation networks

• Autor(a) principal: Bareinboim, Elias
• Data de Publicação: 2007
• Outros Autores: Vasconcelos, Ana Tereza Ribeiro, da Silva, João Carlos Pereira
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: RECIIS (Online)
• Texto Completo: https://www.reciis.icict.fiocruz.br/index.php/reciis/article/view/931
• topic: Gene regulation; linguistic modeling; context sensitive language; augmented regular expression; grammatical inference; Regulação gênica; modelagem lingüística; linguagens sensíveis ao contexto; expressão regular aumentada; inferência gramatical

We present a methodology based on grammatical inference algorithms applied to the linguistic modeling of biological regulation networks. The linguistic approach to the problem of regulation networks was proposed by COLLADO-VIDES, who proved and formalized the need for use of context sensitive languages to represent such networks. The learning of context sensitive languages is a difficult task, our proposed methodology describes this class from language with a simpler nature that can be learned by already consolidated grammars inference algorithms. In addition to the proposed methodology, we suggest promising directions for this research.