Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases
作者: Hojin MoonKaren L. LopezGrace I. LinJames J. ChenKishore Chaudhry
作者单位: 1Department of Mathematics and Statistics, California State University, 1250 Bellflower Boulevard, Long Beach, CA 90840-1001, USA
2Department of Computer Science, University of California, Santa Cruz, CA 95064, USA
3Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, FDA, Jefferson, AR 72079, USA
4Graduate Institute of Biostatistics and Biostatistics Center, China Medical University, Taichung, Taiwan
刊名: Disease Markers, 2013, Vol.35 (6)
来源数据库: Hindawi Journal
DOI: 10.1155/2013/393020
原始语种摘要: 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.
全文获取路径: Hindawi 
影响因子:2.14 (2012)

  • expression 表示
  • propose 提议
  • demonstrated 探明的储量
  • genomic 染色体组的
  • specific 
  • ranking 级别
  • importance 重要性
  • procedure 手续
  • treatment 处理
  • important 重要的