Un Modelo Basado en Reglas de Asociación para la Extracción de Información en Datos de Secuencias de Proteínas
Fuente:
Redalyc
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | es |
| Pubblicazione: |
Universidad Nacional de Colombia
2008
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1876459442227118080 |
|---|---|
| author | David Becerra |
| author_facet | David Becerra |
| contents | Un Modelo Basado en Reglas de Asociación para la Extracción de Información en Datos de Secuencias de Proteínas David Becerra Giovanni Cantor Luis F. Niño Jonatan Gómez Leonardo Bobadilla Computación Data Mining Association Rules Second ar y Str u ctur e Pr ed iction In this paper, a data mining technique for protein sequence pattern extraction is developed. Specifically, the aim isto explore the use of association rules as a basis to build successful secondary structure predictors, in a equencestructure layer. No heuristic or biological infor mation is taken into account in the present study and only the information given by the associationrules is used as a basis for building a secondary structure predictor.T h is wor k gives some in sigh ts a b ou t secon d a r y str u ctu r e pr ediction featur es to be used in lear ning algor ithms¿ this is expected to be useful to achieve substantial impr ovements ofaccuracy in protein secondary structure prediction. 2008 artículo científico 1657-7663 https://www.redalyc.org/articulo.oa?id=133114993012 es http://www.redalyc.org/revista.oa?id=1331 Revista Avances en Sistemas e Informática application/pdf Universidad Nacional de Colombia Revista Avances en Sistemas e Informática (Colombia) Num.1 Vol.5 |
| format | Artículo científico |
| id | redalyc_133114993012 |
| institution | Redalyc |
| language | es |
| publishDate | 2008 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Un Modelo Basado en Reglas de Asociación para la Extracción de Información en Datos de Secuencias de Proteínas David Becerra Computación Data Mining Association Rules Second ar y Str u ctur e Pr ed iction Un Modelo Basado en Reglas de Asociación para la Extracción de Información en Datos de Secuencias de Proteínas David Becerra Giovanni Cantor Luis F. Niño Jonatan Gómez Leonardo Bobadilla Computación Data Mining Association Rules Second ar y Str u ctur e Pr ed iction In this paper, a data mining technique for protein sequence pattern extraction is developed. Specifically, the aim isto explore the use of association rules as a basis to build successful secondary structure predictors, in a equencestructure layer. No heuristic or biological infor mation is taken into account in the present study and only the information given by the associationrules is used as a basis for building a secondary structure predictor.T h is wor k gives some in sigh ts a b ou t secon d a r y str u ctu r e pr ediction featur es to be used in lear ning algor ithms¿ this is expected to be useful to achieve substantial impr ovements ofaccuracy in protein secondary structure prediction. 2008 artículo científico 1657-7663 https://www.redalyc.org/articulo.oa?id=133114993012 es http://www.redalyc.org/revista.oa?id=1331 Revista Avances en Sistemas e Informática application/pdf Universidad Nacional de Colombia Revista Avances en Sistemas e Informática (Colombia) Num.1 Vol.5 |
| title | Un Modelo Basado en Reglas de Asociación para la Extracción de Información en Datos de Secuencias de Proteínas |
| topic | Computación Data Mining Association Rules Second ar y Str u ctur e Pr ed iction |
| url | https://www.redalyc.org/articulo.oa?id=133114993012 |