Knowledge-based variable selection for learning rules from proteomic data

BACKGROUND: The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass...

Descripción completa

Detalles Bibliográficos
Autores principales: Lustgarten, Jonathan L, Visweswaran, Shyam, Bowser, Robert P, Hogan, William R, Gopalakrishnan, Vanathi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745687/
https://www.ncbi.nlm.nih.gov/pubmed/19761570
http://dx.doi.org/10.1186/1471-2105-10-S9-S16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745687/
https://www.ncbi.nlm.nih.gov/pubmed/19761570
http://dx.doi.org/10.1186/1471-2105-10-S9-S16

Ejemplares similares