Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification

BACKGROUND: Microarray-based tumor classification is characterized by a very large number of features (genes) and small number of samples. In such cases, statistical techniques cannot determine which genes are correlated to each tumor type. A popular solution is the use of a subset of pre-specified...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Manli, Martinez, Aleix M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443146/
https://www.ncbi.nlm.nih.gov/pubmed/18554411
http://dx.doi.org/10.1186/1471-2105-9-280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443146/
https://www.ncbi.nlm.nih.gov/pubmed/18554411
http://dx.doi.org/10.1186/1471-2105-9-280

Ejemplares similares