Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en
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 langua...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto de Comunicação e Informação Científica e Tecnológica em Saúde (Icict) da Fundação Oswaldo Cruz (Fiocruz)
2007-12-01
|
| Series: | RECIIS |
| Subjects: | |
| Online Access: | http://www.reciis.cict.fiocruz.br/index.php/reciis/article/view/104/120 |
| _version_ | 1828967330843983872 |
|---|---|
| author | Elias Bareinboim Ana Tereza R. Vasconcelos João C. P. da Silva |
| author_facet | Elias Bareinboim Ana Tereza R. Vasconcelos João C. P. da Silva |
| author_sort | Elias Bareinboim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T11:48:44Z |
| format | Article |
| id | doaj.art-8144e3f3b90b45538f6cc0d50690d3d2 |
| institution | Directory Open Access Journal |
| issn | 1981-6278 |
| language | English |
| last_indexed | 2024-12-14T11:48:44Z |
| publishDate | 2007-12-01 |
| publisher | Instituto de Comunicação e Informação Científica e Tecnológica em Saúde (Icict) da Fundação Oswaldo Cruz (Fiocruz) |
| record_format | Article |
| series | RECIIS |
| spelling | doaj.art-8144e3f3b90b45538f6cc0d50690d3d22022-12-21T23:02:28ZengInstituto de Comunicação e Informação Científica e Tecnológica em Saúde (Icict) da Fundação Oswaldo Cruz (Fiocruz)RECIIS1981-62782007-12-0112Sup329Sup333Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104enElias BareinboimAna Tereza R. VasconcelosJoão C. P. da SilvaWe 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.http://www.reciis.cict.fiocruz.br/index.php/reciis/article/view/104/120Gene regulationlinguistic modelingcontext sensitive languageaugmented regular expressiongrammatical inference |
| spellingShingle | Elias Bareinboim Ana Tereza R. Vasconcelos João C. P. da Silva Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en RECIIS Gene regulation linguistic modeling context sensitive language augmented regular expression grammatical inference |
| title | Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en |
| title_full | Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en |
| title_fullStr | Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en |
| title_full_unstemmed | Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en |
| title_short | Grammatical inference applied to linguistic modeling of biological regulation networks - DOI: 10.3395/reciis.v1i2.Sup.104en |
| title_sort | grammatical inference applied to linguistic modeling of biological regulation networks doi 10 3395 reciis v1i2 sup 104en |
| topic | Gene regulation linguistic modeling context sensitive language augmented regular expression grammatical inference |
| url | http://www.reciis.cict.fiocruz.br/index.php/reciis/article/view/104/120 |
| work_keys_str_mv | AT eliasbareinboim grammaticalinferenceappliedtolinguisticmodelingofbiologicalregulationnetworksdoi103395reciisv1i2sup104en AT anaterezarvasconcelos grammaticalinferenceappliedtolinguisticmodelingofbiologicalregulationnetworksdoi103395reciisv1i2sup104en AT joaocpdasilva grammaticalinferenceappliedtolinguisticmodelingofbiologicalregulationnetworksdoi103395reciisv1i2sup104en |