Grammatical inference applied to linguistic modeling of biological regulation networks
DOI:
https://doi.org/10.3395/reciis.v1i2.931Keywords:
Gene regulation, linguistic modeling, context sensitive language, augmented regular expression, grammatical inferenceAbstract
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.Downloads
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Published
2007-12-31
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How to Cite
Grammatical inference applied to linguistic modeling of biological regulation networks. (2007). RECIIS, 1(2). https://doi.org/10.3395/reciis.v1i2.931
