Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes

Abstract

This study provided a valuable method of integrating microarray data sets with different origins, and new methods of selecting a minimum number of marker genes to aid in cancer diagnosis. After careful data integration, the classification method developed from one data set can be applied to the other with high prediction accuracy.