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A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD
In this paper, we propose a Bayesian hierarchical approach to infer network structures across multiple sample groups where both shared and differential edges may exist across the groups. In our approach, we link graphs through a Markov random field prior. This prior on network similarity provides a...
Tallennettuna:
| Julkaisussa: | Stat Biosci |
|---|---|
| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8078135/ https://ncbi.nlm.nih.gov/pubmed/33912251 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12561-016-9176-6 |
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