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Integration of Transcriptomic Data Identifies Global and Cell-Specific Asthma-Related Gene Expression Signatures
Over 140,000 transcriptomic studies performed in healthy and diseased cell and tissue types, at baseline and after exposure to various agents, are available in public repositories. Integrating results of transcriptomic datasets has been an attractive approach to identify gene expression signatures t...
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| 出版年: | AMIA Annu Symp Proc |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Medical Informatics Association
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371257/ https://ncbi.nlm.nih.gov/pubmed/30815178 |
| タグ: |
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