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

来源：

DISEASE MARKERS | 2013年 / 2013卷

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

页码：661 / 667

页数：7

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