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Predictive features of gene expression variation reveal mechanistic link with differential expression
For most biological processes, organisms must respond to extrinsic cues, while maintaining essential gene expression programmes. Although studied extensively in single cells, it is still unclear how variation is controlled in multicellular organisms. Here, we used a machine‐learning approach to iden...
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| 出版年: | Mol Syst Biol |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7411568/ https://ncbi.nlm.nih.gov/pubmed/32767663 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15252/msb.20209539 |
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