An association rule based model for information extraction from protein sequence data

In this paper, a data mining technique for protein sequence pattern extraction is developed. Specifically, the aim is to explore the use of association rules as a basis to build successful secondary structure predictors, in a sequencestructure layer. No heuristic or biological infor mation is taken...

Full description

Autores:
Becerra, David
Cantor Monroy, Giovanni Antonio
Niño, Luis Fernando
Gómez Perdomo, Jonatan
Bobadilla, Leonardo
Tipo de recurso:
Article of journal
Fecha de publicación:
2008
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/24338
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/24338
http://bdigital.unal.edu.co/15375/
Palabra clave:
Data Mining
Secondary Structure Prediction
Association Rules.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional