Entropy-based gene ranking without selection bias for the predictive classification of microarray data

BACKGROUND: We describe the E-RFE method for gene ranking, which is useful for the identification of markers in the predictive classification of array data. The method supports a practical modeling scheme designed to avoid the construction of classification rules based on the selection of too small...

Descripción completa

Detalles Bibliográficos
Autores principales: Furlanello, Cesare, Serafini, Maria, Merler, Stefano, Jurman, Giuseppe
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC293475/
https://www.ncbi.nlm.nih.gov/pubmed/14604446
http://dx.doi.org/10.1186/1471-2105-4-54

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC293475/
https://www.ncbi.nlm.nih.gov/pubmed/14604446
http://dx.doi.org/10.1186/1471-2105-4-54

Ejemplares similares