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Bayesian Nonlinear Model Selection for Gene Regulatory Networks
Gene regulatory networks represent the regulatory relationships between genes and their products and are important for exploring and defining the underlying biological processes of cellular systems. We develop a novel framework to recover the structure of nonlinear gene regulatory networks using sem...
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| Pubblicato in: | Biometrics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4575256/ https://ncbi.nlm.nih.gov/pubmed/25854759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12309 |
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