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Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases
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 stud...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834650/ https://www.ncbi.nlm.nih.gov/pubmed/24302811 http://dx.doi.org/10.1155/2013/393020 |
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author | Moon, Hojin Lopez, Karen L. Lin, Grace I. Chen, James J. |
author_facet | Moon, Hojin Lopez, Karen L. Lin, Grace I. Chen, James J. |
author_sort | Moon, Hojin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3834650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38346502013-12-03 Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases Moon, Hojin Lopez, Karen L. Lin, Grace I. Chen, James J. Dis Markers Research Article 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. Hindawi Publishing Corporation 2013 2013-11-05 /pmc/articles/PMC3834650/ /pubmed/24302811 http://dx.doi.org/10.1155/2013/393020 Text en Copyright © 2013 Hojin Moon et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Moon, Hojin Lopez, Karen L. Lin, Grace I. Chen, James J. Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases |
title | Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases |
title_full | Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases |
title_fullStr | Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases |
title_full_unstemmed | Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases |
title_short | Sex-Specific Genomic Biomarkers for Individualized Treatment of Life-Threatening Diseases |
title_sort | sex-specific genomic biomarkers for individualized treatment of life-threatening diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834650/ https://www.ncbi.nlm.nih.gov/pubmed/24302811 http://dx.doi.org/10.1155/2013/393020 |
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