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...

詳細記述

書誌詳細

出版年:	IEEE Transactions on information technology in biomedicine 7, 3 (2003).
第一著者:	Fu, L.M
フォーマット:	論文
言語:	English
主題:	M-fold cross-validation. Cancer classification. Data generation. Dimensionality. Gene selection. Microarray functional genomics data. Microarray gene expression data. Multivariate approach. Support vector machine.