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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...
Tallennettuna:
| Julkaisussa: | J Comput Graph Stat |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2014
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| Aiheet: | |
| Linkit: | 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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