Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases

被引:3
作者
Moon, Hojin [1 ]
Lopez, Karen L. [1 ]
Lin, Grace I. [2 ]
Chen, James J. [3 ,4 ,5 ]
机构
[1] Calif State Univ Long Beach, Dept Math & Stat, Long Beach, CA 90840 USA
[2] Univ Calif Santa Cruz, Dept Comp Sci, Santa Cruz, CA 95064 USA
[3] US FDA, Div Bioinformat & Biostat, Natl Ctr Toxicol Res, Jefferson, AR 72079 USA
[4] China Med Univ, Grad Inst Biostat, Taichung, Taiwan
[5] China Med Univ, Biostat Ctr, Taichung, Taiwan
关键词
GENE-EXPRESSION; SELECTION; CANCER; CLASSIFICATION;
D O I
10.1155/2013/393020
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页码:661 / 667
页数:7
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