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Gene regulation network inference with joint sparse Gaussian graphical models
Revealing biological networks is one key objective in systems biology. With microarrays, researchers now routinely measure expression profiles at the genome level under various conditions, and, such data may be utilized to statistically infer gene regulation networks. Gaussian graphical models (GGMs...
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| 出版年: | J Comput Graph Stat |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4743539/ https://ncbi.nlm.nih.gov/pubmed/26858518 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.956876 |
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