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Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method
Gene regulatory networks (GRNs) research reveals complex life phenomena from the perspective of gene interaction, which is an important research field in systems biology. Traditional Bayesian networks have a high computational complexity, and the network structure scoring model has a single feature....
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| Publicat a: | Oncotarget |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Impact Journals LLC
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5655205/ https://ncbi.nlm.nih.gov/pubmed/29113310 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.21268 |
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