Improving reliability of gene selection from microarray functional genomics data.

Improving reliability of gene selection from microarray functional genomics data.

Constructing a classifier based on microarray gene expression data has recently emerged as an important problem for cancer classification. Recent results have suggested the feasibility of constructing such a classifier with reasonable predictive accuracy under the circumstance where only a small num...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:IEEE Transactions on information technology in biomedicine 7, 3 (2003).
Päätekijä: Fu, L.M
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
M-fold cross-validation.
Cancer classification.
Data generation.
Dimensionality.
Gene selection.
Microarray functional genomics data.
Microarray gene expression data.
Multivariate approach.
Support vector machine.