 Logo of narLink to Publisher's site Nucleic Acids Res. 2004;
32(9): 2685–2694. Published online 2004 May 17. doi: 
10.1093/nar/gkh563 PMCID: PMC419591    Current applications of
microarrays focus on precise classification or discovery of
biological types, for example tumor versus normal phenotypes in
cancer research. Several challenging scientific tasks in the
post-genomic epoch, like hunting for the genes underlying
complex diseases from genome-wide gene expression profiles and
thereby building the corresponding gene networks, are largely
overlooked because of the lack of an efficient analysis
approach. We have thus developed an innovative ensemble decision
approach, which can efficiently perform multiple gene mining
tasks. An application of this approach to analyze two publicly
available data sets (colon data and leukemia data) identified 20
highly significant colon cancer genes and 23 highly significant
molecular signatures for refining the acute leukemia phenotype,
most of which have been verified either