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Inference of Quantitative Models of Bacterial Promoters from Time-Series Reporter Gene Data
The inference of regulatory interactions and quantitative models of gene regulation from time-series transcriptomics data has been extensively studied and applied to a range of problems in drug discovery, cancer research, and biotechnology. The application of existing methods is commonly based on im...
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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4295839/ https://ncbi.nlm.nih.gov/pubmed/25590141 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004028 |
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