Abstract
Numerous studies have demonstrated sex differences in drug reactions to the same drug treatment, steering away from the traditional view of one-size-fits-all medicine. A premise of this study is that the sex of a patient influences difference in disease characteristics and risk factors. In this study, we intend to exploit and to obtain better sex-specific biomarkers from gene-expression data. We propose a procedure to isolate a set of important genes as sex-specific genomic biomarkers, which may enable more effective patient treatment. A set of sex-specific genes is obtained by a variable importance ranking using a combination of cross-validation methods. The proposed procedure is applied to three gene-expression datasets. © 2013 Hojin Moon et al.
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CITATION STYLE
Moon, H., Lopez, K. L., Lin, G. I., & Chen, J. J. (2013). Sex-specific genomic biomarkers for individualized treatment of life-threatening diseases. Disease Markers, 35(6), 661–667. https://doi.org/10.1155/2013/393020
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