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In ovarian cancer treatment there is no single standard criterion adopted for chemotherapy responses assessment. CA-125 is widely used to evaluate chemotherapy responses and doctors experience still play an important role in the judgment of chemotherapy response. It is noted that there are cases whose CA125 values are in the same range but classified differently. The situation becomes complicated...
Many studies have been proposed to identify gene makers that are associated with cancers, but the found markers are approach dependent. For example, the results are correlated with classifiers in supervised feature selection, and many of them didn't consider the influences of other factors, such as the grades or stages of cancers. In this study, we proposed a supervised SVD approach to extract the...
Gene expression data analysis is a very useful tool for medical diagnosis. Combined with classification methods, this technology can be used to help make clinical decisions for individual patients. In this paper, a novel classification method for cancer microarray data was proposed. This method includes two stages: The first stage is to select a number of genes based on a gene selection algorithm,...
Analyzing microarray data to identify interesting genes is a well-established methodology but often results in inconsistent conclusions and even fails because of the variations of experimental conditions. This study proposes an across factor normalization based singular value decomposition approach to microarray data analysis. The approach has been applied to analyze gene expression profiles to identify...
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